Computational Intelligence for Information Technology Project Management

Computational Intelligence for Information Technology Project Management

Robert J. Hammell (Towson University, USA), Julie Hoksbergen (Towson University, USA), James Wood (Towson University, USA) and Mark Christensen (Towson University, USA)
Copyright: © 2012 |Pages: 24
DOI: 10.4018/978-1-60960-818-7.ch606
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With the growing complexity of information technology (IT) projects, the management of these projects is proving to be a daunting task. The magnitude of this problem is underscored by the assertion that approximately 70% of IT projects fail to meet their objectives (Lewis, 2007). Computational intelligence (CI) is an area of research focused on developing intelligent systems to help with complex problems. Specifically, CI seeks to integrate techniques and methodologies to assist in problem domains in which information, data and perhaps even the problem itself are vague, approximate, and uncertain. It would seem that research aimed at leveraging the power of CI against IT project management problems is critical if IT project success rates are to be improved. This work examines the core CI technologies – fuzzy logic, neural networks, and genetic algorithms – and looks at current and potential future applications of these techniques to assist IT project managers.
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While the concept of project management has been around for centuries, the methodologies with which we are most familiar are not nearly that old. Tools developed during World War I and II, such as Gantt charts, PERT charts, and network diagrams laid the groundwork for the primary project management techniques we use today (Sisk, 1998). Even with these tools and the powerful information technologies at our disposal, successful performance of the multiple steps in project management is still a difficult task. The fact that approximately 70% of information technology (IT) projects fail to meet their objectives further emphasizes the difficulties throughout the life of a project (Lewis, 2007).

The sheer complexity of managing an IT project is a large part of the problem and has been cited as a primary cause in the failure of such projects (Daniels & LaMarsh, 2007). The IT industry is constantly changing which makes it difficult for users to envision and develop potential tools based on the newest technologies. Additionally, project management is still a relatively new science that is continuously evolving. Throughout the life cycle of an IT project, project leaders and their respective teams encounter many situations where they are faced with making important decisions which could determine the success or failure of the project. Often times many of these decisions are made with insufficient tools or resources. The lack of sophisticated IT tools directed specifically toward helping the project manager may lead to decreased performance in all aspects of project management. Problems are many, but examples include outdated or incomplete information for problem identification, planning and execution; basing decisions on past project experiences which may not apply to the current project; difficulty in monitoring the project due to inaccurate knowledge of the current project status; and perhaps even problems with capturing lessons learned from a project, regardless of whether it is a success or failure.

Computational intelligence (CI) is an area of research focused on developing intelligent systems to help with complex problems. Specifically, CI seeks to integrate techniques and methodologies to assist in problem domains in which information, data and perhaps even the problem itself are vague, approximate, and uncertain. The information technology project management environment is certainly one of these problem domains. With the ever increasing complexity of today’s IT projects, the need for intelligent tools, processes, methods, and systems to assist in the management of these projects is also growing. While some work has been done in applying CI to IT project management problems, it appears that efforts in this area are still in their infancy. We submit that research aimed at leveraging the power of CI toward the problems in IT project management will be vital in the quest to improve IT project success rates.

The next section defines computational intelligence with respect to the work presented here. The core CI technologies that we will explore are also introduced and explained. A broad survey of current work related to applying these CI technologies to the field of IT project management is then given. We end with a section that describes potential future applications of CI to IT project management.

Complete Chapter List

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Editorial Advisory Board
Chapter 1
Brian Whitworth, Hokyoung Ryu
Over 30 years ago, TV shows from The Jetsons to Star Trek suggested that by the millennium’s end computers would read, talk, recognize, walk... Sample PDF
A Comparison of Human and Computer Information Processing
Chapter 2
Machine Learning  (pages 13-22)
João Gama, André C.P.L.F. de Carvalho
Machine learning techniques have been successfully applied to several real world problems in areas as diverse as image analysis, Semantic Web... Sample PDF
Machine Learning
Chapter 3
Diego Liberati
In dealing with information it often turns out that one has to face a huge amount of data, often not completely homogeneous and often without an... Sample PDF
Machine Learning Through Data Mining
Chapter 4
Antonio Bella, Cèsar Ferri, José Hernández-Orallo, María José Ramírez-Quintana
The evaluation of machine learning models is a crucial step before their application because it is essential to assess how well a model will behave... Sample PDF
Calibration of Machine Learning Models
Chapter 5
K. Selvakuberan, M. Indra Devi, R. Rajaram
The explosive growth of the Web makes it a very useful information resource to all types of users. Today, everyone accesses the Internet for various... Sample PDF
Classification of Web Pages Using Machine Learning Techniques
Chapter 6
G. N. Marichal, A. Hernández, E. J. González, L. Acosta, J. L. Saorin
This paper explains the different interactions between the Artificial Intelligence (AI) techniques and 3D modelling, not only the wide-used... Sample PDF
3D Modelling and Artificial Intelligence: A Descriptive Overview
Chapter 7
Chris Groeneboer, Monika Whitney
Knowledge translation (KT) was traditionally framed as a problem of moving research results into policy and practice. The impetus for the flow of... Sample PDF
An Overview of Knowledge Translation
Chapter 8
João José Neto
Before the advent of software engineering, the lack of memory space in computers and the absence of established programming methodologies led early... Sample PDF
Adaptive Technology and Its Applications
Chapter 9
M. L. Gavrilova
This chapter spans topics from such important areas as Artificial Intelligence, Computational Geometry and Biometric Technologies. The primary focus... Sample PDF
Adaptive Algorithms for Intelligent Geometric Computing
Chapter 10
Patrik Skogster
Geographic information is created by manipulating geographic (or spatial) data (generally known by the abbreviation geodata) in a computerized... Sample PDF
Different Roles and Definitions of Spatial Data Fusion
Chapter 11
Xenia Naidenova
One of the most important tasks in database technology is to combine the following activities: data mining or inferring knowledge from data and... Sample PDF
Machine Learning as a Commonsense Reasoning Process
Chapter 12
Janusz A. Starzyk
This chapter describes a motivated learning (ML) method that advances model building and learning techniques required for intelligent systems.... Sample PDF
Motivated Learning for Computational Intelligence
Chapter 13
David Gibson
What would a game or simulation need to have in order to teach a teacher how people learn? This chapter uses a four-part framework of knowledge... Sample PDF
Designing a Computational Model of Learning
Chapter 14
G. Nicolás Marichal, Evelio J. González
The concept of agent has been successfully used in a wide range of applications such as Robotics, e-commerce, agent-assisted user training, military... Sample PDF
Intelligent MAS in System Engineering and Robotics
Chapter 15
Kensuke Naoe, Hideyasu Sasaki, Yoshiyasu Takefuji
In this paper, the authors propose information hiding by machine learning: a method of key generation for information extracting using neural... Sample PDF
Information Hiding by Machine Learning: A Method of Key Generation for Information Extracting Using Neural Network
Chapter 16
Agostino Poggi, Michele Tomaiuolo
Expert systems are successfully applied to a number of domains. Often built on generic rule-based systems, they can also exploit optimized... Sample PDF
Rule Engines and Agent-Based Systems
Chapter 17
John Seiffertt, Donald C. Wunsch II
As the study of agent-based computational economics and finance grows, so does the need for appropriate techniques for the modeling of complex... Sample PDF
Higher Order Neural Network Architectures for Agent-Based Computational Economics and Finance
Chapter 18
Shu-Chiang Lin
Many task analysis techniques and methods have been developed over the past decades, but identifying and decomposing a user’s task into small task... Sample PDF
A Bayesian Based Machine Learning Application to Task Analysis
Chapter 19
Lei Xu, Shun-ichi Amari
Expert combination is a classic strategy that has been widely used in various problem solving tasks. A team of individuals with diverse and... Sample PDF
Combining Classifiers and Learning Mixture-of-Experts
Chapter 20
M. Mohammadian
Systems such as robotic systems and systems with large input-output data tend to be difficult to model using mathematical techniques. These systems... Sample PDF
Designing Unsupervised Hierarchical Fuzzy Logic Systems
Chapter 21
Marcelo Keese Albertini, Rodrigo Fernandes de Mello
Machine learning is a field of artificial intelligence which aims at developing techniques to automatically transfer human knowledge into analytical... Sample PDF
A Self-Organizing Neural Network to Approach Novelty Detection
Chapter 22
Christian Hillbrand
The motivation for this chapter is the observation that many companies build their strategy upon poorly validated hypotheses about cause and effect... Sample PDF
Empirical Inference of Numerical Information into Causal Strategy Models by Means of Artificial Intelligence
Chapter 23
Václav Snášel, Jan Platoš, Pavel Krömer, Ajith Abraham
Recently cyber security has emerged as an established discipline for computer systems and infrastructures with a focus on protection of valuable... Sample PDF
Designing Light Weight Intrusion Detection Systems: Non-negative Matrix Factorization Approach
Chapter 24
Ying Guo, Rongxin Li
In order to cope with the unpredictability of the energy market and provide rapid response when supply is strained by demand, an emerging... Sample PDF
A Multi-Agent Machine Learning Framework for Intelligent Energy Demand Management
Chapter 25
Ramesh Ram, Madhu Chetty
This chapter presents modelling gene regulatory networks (GRNs) using probabilistic causal model and the guided genetic algorithm. The problem of... Sample PDF
Modelling Gene Regulatory Networks Using Computational Intelligence Techniques
Chapter 26
Ramakanta Mohanty, V. Ravi, M. R. Patra
In this paper, the authors employed machine learning techniques, specifically, Back propagation trained neural network (BPNN), Group method of data... Sample PDF
Application of Machine Learning Techniques to Predict Software Reliability
Chapter 27
Cagatay Catal, Soumya Banerjee
Artificial Immune Systems, a biologically inspired computing paradigm such as Artificial Neural Networks, Genetic Algorithms, and Swarm... Sample PDF
Application of Artificial Immune Systems Paradigm for Developing Software Fault Prediction Models
Chapter 28
Gabriella Carrozza, Roberto Natella
This paper proposes an approach to software faults diagnosis in complex fault tolerant systems, encompassing the phases of error detection, fault... Sample PDF
A Recovery-Oriented Approach for Software Fault Diagnosis in Complex Critical Systems
Chapter 29
Marco Vannucci, Valentina Colla, Silvia Cateni, Mirko Sgarbi
In this chapter a survey on the problem of classification tasks in unbalanced datasets is presented. The effect of the imbalance of the distribution... Sample PDF
Artificial Intelligence Techniques for Unbalanced Datasets in Real World Classification Tasks
Chapter 30
Ana Maria Madureira
The complexity of current computer systems has led the software engineering, distributed systems and management communities to look for inspiration... Sample PDF
Hybrid Meta-Heuristics Based System for Dynamic Scheduling
Chapter 31
R. Manjunath
Expert systems have been applied to many areas of research to handle problems effectively. Designing and implementing an expert system is a... Sample PDF
Differential Learning Expert System in Data Management
Chapter 32
Amine Chohra, Nadia Kanaoui, Véronique Amarger, Kurosh Madani
Fault diagnosis is a complex and fuzzy cognitive process, and soft computing methods and technologies based on Neural Networks (NN) and Fuzzy Logic... Sample PDF
Hybrid Intelligent Diagnosis Approach Based On Neural Pattern Recognition and Fuzzy Decision-Making
Chapter 33
Isak Taksa, Sarah Zelikovitz, Amanda Spink
Search query classification is a necessary step for a number of information retrieval tasks. This chapter presents an approach to non-hierarchical... Sample PDF
Machine Learning Approach to Search Query Classification
Chapter 34
O. Lezoray, G. Lebrun, C. Meurie, C. Charrier, A. Elmotataz, M. Lecluse
The segmentation of microscopic images is a challenging application that can have numerous applications ranging from prognosis to diagnosis.... Sample PDF
Machine Learning in Morphological Segmentation
Chapter 35
Tich Phuoc Tran, Pohsiang Tsai, Tony Jan, Xiangjian He
Most of the currently available network security techniques are not able to cope with the dynamic and increasingly complex nature of cyber attacks... Sample PDF
Machine Learning Techniques for Network Intrusion Detection
Chapter 36
Jitendra Kumar Rai, Atul Negi, Rajeev Wankar, K. D. Nayak
Sharing resources such as caches and memory buses between the cores of multi-core processors may cause performance bottlenecks for running programs.... Sample PDF
A Machine Learning Based Meta-Scheduler for Multi-Core Processors
Chapter 37
Jie Tang, Duo Zhang, Limin Yao, Yi Li
This chapter aims to give a thorough investigation of the techniques for automatic semantic annotation. The Semantic Web provides a common framework... Sample PDF
Automatic Semantic Annotation Using Machine Learning
Chapter 38
Manuel Martín-Merino Acera
Electricity load forecasting has become increasingly important due to the strong impact on the operational efficiency of the power system. However... Sample PDF
Electricity Load Forecasting Using Machine Learning Techniques
Chapter 39
Isak Taksa, Sarah Zelikovitz, Amanda Spink
Background knowledge has been actively investigated as a possible means to improve performance of machine learning algorithms. Research has shown... Sample PDF
Non-Topical Classification of Query Logs Using Background Knowledge
Chapter 40
Yoshihiro Yamanishi, Hisashi Kashima
In silico prediction of compound-protein interactions from heterogeneous biological data is critical in the process of drug development. In this... Sample PDF
Prediction of Compound-protein Interactions with Machine Learning Methods
Chapter 41
Kensuke Naoe, Hideyasu Sasaki, Yoshiyasu Takefuji
The Service-Oriented Architecture (SOA) demands supportive technologies and new requirements for mobile collaboration across multiple platforms. One... Sample PDF
Secure Key Generation for Static Visual Watermarking by Machine Learning in Intelligent Systems and Services
Chapter 42
Tarek Helmy
The system that monitors the events occurring in a computer system or a network and analyzes the events for sign of intrusions is known as intrusion... Sample PDF
Adaptive Ensemble Multi-Agent Based Intrusion Detection Model
Chapter 43
Óscar Pérez, Manuel Sánchez-Montañés
Machine learning has provided powerful algorithms that automatically generate predictive models from experience. One specific technique is... Sample PDF
Class Prediction in Test Sets with Shifted Distributions
Chapter 44
Chih-Fong Tsai, Yu-Hsin Lu, Yu-Feng Hsu
It is very important for financial institutions which are capable of accurately predicting business failure. In literature, numbers of bankruptcy... Sample PDF
Bankruptcy Prediction by Supervised Machine Learning Techniques: A Comparative Study
Chapter 45
Y. Goletsis, C. Papaloukas, Th. Exarhos, C.D. Katsis
Bankruptcy prediction or corporate failure is considered a classic issue in both, academic and business communities. Bankruptcy risk is one of the... Sample PDF
Bankruptcy Prediction through Artificial Intelligence
Chapter 46
George Tzanis, Christos Berberidis, Ioannis Vlahavas
Machine learning is one of the oldest subfields of artificial intelligence and is concerned with the design and development of computational systems... Sample PDF
Machine Learning and Data Mining in Bioinformatics
Chapter 47
Albert Ali Salah
Biometrics aims at reliable and robust identification of humans from their personal traits, mainly for security and authentication purposes, but... Sample PDF
Machine Learning for Biometrics
Chapter 48
Jesmin Nahar, Kevin S. Tickle, A. B.M. Shawkat Ali
Extracting useful information from structured and unstructured biological data is crucial in the health industry. Some examples include medical... Sample PDF
Pattern Discovery from Biological Data
Chapter 49
Geraldo Braz Júnior, Leonardo de Oliveira Martins, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva
Breast cancer is a malignant (cancer) tumor that starts from cells of the breast, being the major cause of deaths by cancer in the female... Sample PDF
Computer-Aided Detection and Diagnosis of Breast Cancer Using Machine Learning, Texture and Shape Features
Chapter 50
Loris Nanni, Alessandra Lumini
Subcellular location is related to the knowledge of the spatial distribution of a protein within the cell. The knowledge of the location of all... Sample PDF
Ensemble of Neural Networks for Automated Cell Phenotype Image Classification
Chapter 51
Nikolaos Giannakeas, Dimitrios I. Fotiadis
Microarray technology allows the comprehensive measurement of the expression level of many genes simultaneously on a common substrate. Typical... Sample PDF
Image Processing and Machine Learning Techniques for the Segmentation of cDNA Microarray Images
Chapter 52
Abhilash Alexander Miranda, Olivier Caelen, Gianluca Bontempi
This chapter presents a comprehensive scheme for automated detection of colorectal polyps in computed tomography colonography (CTC) with particular... Sample PDF
Machine Learning for Automated Polyp Detection in Computed Tomography Colonography
Chapter 53
Jonathan Morra, Zhuowen Tu, Arthur Toga, Paul Thompson
In this chapter, the authors review a variety of algorithms developed by different groups for automatically segmenting structures in medical images... Sample PDF
Machine Learning for Brain Image Segmentation
Chapter 54
Guo-Zheng Li
This chapter introduces great challenges and the novel machine learning techniques employed in clinical data processing. It argues that the novel... Sample PDF
Machine Learning for Clinical Data Processing
Chapter 55
Adam J. Conover
This chapter presents a description of ongoing experimental research into the emergent properties of multi-agent communication in “temporally... Sample PDF
A Simulation of Temporally Variant Agent Interaction via Passive Inquiry
Chapter 56
Adam J. Conover
This chapter concludes a two part series which examines the emergent properties of multi-agent communication in “temporally asynchronous”... Sample PDF
A Simulation of Temporally Variant Agent Interaction via Belief Promulgation
Chapter 57
Donat Orski
The chapter concerns a class of systems composed of operations performed with the use of resources allocated to them. In such operation systems... Sample PDF
Application of Uncertain Variables to Knowledge-Based Resource Distribution
Chapter 58
Marco Mamei
Recent mobile computing applications try to automatically identify the places visited by the user from a log of GPS readings. Such applications... Sample PDF
Applying Commonsense Reasoning to Place Identification
Chapter 59
Floriana Esposito, Teresa M.A. Basile, Nicola Di Mauro, Stefano Ferilli
One of the most important features of a mobile device concerns its flexibility and capability to adapt the functionality it provides to the users.... Sample PDF
Machine Learning Enhancing Adaptivity of Multimodal Mobile Systems
Chapter 60
Nadeem Bhatti, Dieter W. Fellner
The service-oriented architecture has become one of the most popular approaches for distributed business applications. A new trend service ecosystem... Sample PDF
Visual Semantic Analysis to Support Semi-Automatic Modeling of Semantic Service Descriptions
Chapter 61
Lei Xu
Among extensive studies on radial basis function (RBF), one stream consists of those on normalized RBF (NRBF) and extensions. Within a probability... Sample PDF
Learning Algorithms for RBF Functions and Subspace Based Functions
Chapter 62
Xin-Jing Wang, Lei Zhang, Xirong Li, Wei-Ying Ma
Although it has been studied for years by computer vision and machine learning communities, image annotation is still far from practical. In this... Sample PDF
Annotating Images by Mining Image Search
Chapter 63
Artem A. Lenskiy, Jong-Soo Lee
The use of visual information for the navigation of unmanned ground vehicles in a cross-country environment recently received great attention.... Sample PDF
Machine Learning for Visual Navigation of Unmanned Ground Vehicles
Chapter 64
Gang Wang, Jin-xing Hao, Jian Ma, Li-hua Huang
Credit scoring is an important finance activity. Both statistical techniques and Artificial Intelligence (AI) techniques have been explored for this... Sample PDF
Empirical Evaluation of Ensemble Learning for Credit Scoring
Chapter 65
Mehdi Najjar
Despite a growing development of virtual laboratories which use the advantages of multimedia and the Internet for distance education, learning by... Sample PDF
A Case Study on Scaffolding Adaptive Feedback within Virtual Learning Environments
Chapter 66
Max E. Stachura, Elena V. Astapova, Hui-Lien Tung, Donald A. Sofge, James Grayson, Margo Bergman, Joseph Wood
The authors review telemedicine and e-health from an organizational perspective. To evaluate their effectiveness, they review organizational and... Sample PDF
Conservation of Information (COI): Geospatial and Operational Developments in E-Health and Telemedicine for Virtual and Rural Communities
Chapter 67
C. Peng Lam
Software testing is primarily a technique for achieving some degree of software quality and to gain consumer confidence. It accounts for 50% -75% of... Sample PDF
Computational Intelligence for Functional Testing
Chapter 68
Malgorzata Lucinska, Slawomir T. Wierzchon
Multi-agent systems (MAS), consist of a number of autonomous agents, which interact with one-another. To make such interactions successful, they... Sample PDF
An Immune Inspired Algorithm for Learning Strategies in a Pursuit-Evasion Game
Chapter 69
Farid Meziane, Sunil Vadera
Artificial intelligences techniques such as knowledge based systems, neural networks, fuzzy logic and data mining have been advocated by many... Sample PDF
Artificial Intelligence in Software Engineering: Current Developments and Future Prospects
Chapter 70
Stefano Ferilli, Floriana Esposito, Marenglen Biba, Teresa M.A. Basile, Nicola Di Mauro
This chapter proposes the application of machine learning techniques, based on first-order logic as a representation language, to the real-world... Sample PDF
FOL Learning for Knowledge Discovery in Documents
Chapter 71
Dorel Gorga, Daniel K. Schneider
The purpose of this contribution is to discuss conceptual issues and challenges related to the integration of emotional agents in the design of... Sample PDF
Computer-Based Learning Environments with Emotional Agents
Chapter 72
Anthony G. Francis Jr., Manish Mehta, Ashwin Ram
Believable agents designed for long-term interaction with human users need to adapt to them in a way which appears emotionally plausible while... Sample PDF
Emotional Memory and Adaptive Personalities
Chapter 73
Giovanni Vincenti, James Braman
Emotions influence our everyday lives, guiding and misguiding us. They lead us to happiness and love, but also to irrational acts. Artificial... Sample PDF
Hybrid Emotionally Aware Mediated Multiagency
Chapter 74
Cyril Laurier, Perfecto Herrera
Creating emotionally sensitive machines will significantly enhance the interaction between humans and machines. In this chapter we focus on enabling... Sample PDF
Automatic Detection of Emotion in Music: Interaction with Emotionally Sensitive Machines
Chapter 75
Susana Fernández Arregui, Sergio Jiménez Celorrio, Tomás de la Rosa Turbides
This chapter reports the last machine learning techniques for the assistance of automated planning. Recent discoveries in automated planning have... Sample PDF
Improving Automated Planning with Machine Learning
Chapter 76
Stavroula Mougiakakou, Ioannis Valavanis, Alexandra Nikita, Konstantina S. Nikita
Recent advances in computer science provide the intelligent computation tools needed to design and develop Diagnostic Support Systems (DSSs) that... Sample PDF
Diagnostic Support Systems and Computational Intelligence: Differential Diagnosis of Hepatic Lesions from Computed Tomography Images
Chapter 77
Vanathi Gopalakrishnan
This chapter provides a perspective on 3 important collaborative areas in systems biology research. These areas represent biological problems of... Sample PDF
Computer Aided Knowledge Discovery in Biomedicine
Chapter 78
David Parry
Decision analysis techniques attempt to utilize mathematical data about outcomes and preferences to help people make optimal decisions. The... Sample PDF
Computerised Decision Support for Women’s Health Informatics
Chapter 79
Vincent Claveau
This chapter presents a simple yet efficient approach to translate automatically unknown biomedical terms from one language into another. This... Sample PDF
Translation of Biomedical Terms by Inferring Rewriting Rules
Chapter 80
Adam E. Gaweda
This chapter presents application of reinforcement learning to drug dosing personalization in treatment of chronic conditions. Reinforcement... Sample PDF
Machine Learning in Personalized Anemia Treatment
Chapter 81
Ahsan H. Khandoker
In this chapter authors try to develop a system for Sleep apnea with the help of machine learning algorithms using ECG signals.  The... Sample PDF
An Intelligent Algorithm for Home Sleep Apnoea Test Device
Chapter 82
Shuxing Zhang
Machine learning techniques have been widely used in drug discovery and development, particularly in the areas of cheminformatics, bioinformatics... Sample PDF
Application of Machine Leaning in Drug Discovery and Development
Chapter 83
Rahul Singh
The problem of modeling and predicting complex structure-property relationships, such as the absorption, distribution, metabolism, and excretion of... Sample PDF
Learning and Prediction of Complex Molecular Structure-Property Relationships: Issues and Strategies for Modeling Intestinal Absorption for Drug Discovery
Chapter 84
Gregorio Iglesias Rodriguez, Alberte Castro Ponte, Rodrigo Carballo Sanchez, Miguel Ángel Losada Rodriguez
Breakwaters are coastal structures constructed to shelter a harbour basin from waves. There are two main types: rubble-mound breakwaters, consisting... Sample PDF
Artificial Intelligence and Rubble-Mound Breakwater Stability
Chapter 85
F. Zhang, D. D. Iliescu, E. L. Hines, M. S. Leeson, S. R. Adams
This chapter introduces a decision support system which is capable of predicting the weekly yields of tomatoes in a greenhouse. The development of... Sample PDF
Decision Support System for Greenhouse Tomato Yield Prediction using Artificial Intelligence Techniques
Chapter 86
Ioanna Stamatopoulou, Maria Fasli, Petros Kefalas
As part of designing a new Master’s programme entitled Technology, Innovation and Entrepreneurship there was an apparent need to include a unit... Sample PDF
Introducing AI and IA into a Non Computer Science Graduate Programme
Chapter 87
Ting Yu
This paper presents an integrated and distributed intelligent system being capable of automatically estimating and updating large-size economic... Sample PDF
Distributed Intelligence for Constructing Economic Models
Chapter 88
Nicholas Ampazis
Estimating customer demand in a multi-level supply chain structure is crucial for companies seeking to maintain their competitive advantage within... Sample PDF
A Computational Intelligence Approach to Supply Chain Demand Forecasting
Chapter 89
Diana F. Adamatti, Marilton S. de Aguiar
There are three computational challenges in natural resources management: data management and communication; data analysis; and optimization and... Sample PDF
Artificial Intelligence Applied to Natural Resources Management
Chapter 90
Bueno Borges de Souza, Li Weigang, Antonio Marcio Ferreira Crespo, Victor Rafael Rezende Celestino
This work describes a decision making support system with Graph Theory and Artificial Intelligence methodologies applied to the Brazilian Air... Sample PDF
Balance Modelling and Implementation of Flow Balance for Application in Air Traffic Management
Chapter 91
Robert J. Hammell, Julie Hoksbergen, James Wood, Mark Christensen
With the growing complexity of information technology (IT) projects, the management of these projects is proving to be a daunting task. The... Sample PDF
Computational Intelligence for Information Technology Project Management
Chapter 92
Alberto Freitas, Pavel Brazdil, Altamiro Costa-Pereira
This chapter introduces cost-sensitive learning and its importance in medicine. Health managers and clinicians often need models that try to... Sample PDF
Cost-Sensitive Learning in Medicine
Chapter 93
Barin N. Nag, Mark Siegal
The recent advances in wireless communication technologies have made possible the development of wireless systems for monitoring the health and... Sample PDF
Data Warehousing and Decision Support in Mobile Wireless Patient Monitoring
Chapter 94
Réal Carbonneau, Rustam Vahidov, Kevin Laframboise
Managing supply chains in today’s complex, dynamic, and uncertain environment is one of the key challenges affecting the success of the businesses.... Sample PDF
Forecasting Supply Chain Demand Using Machine Learning Algorithms
Chapter 95
Jie Du, Roy Rada
This chapter presents the case for knowledge-based machine learning in financial investing. Machine learning here, while it will exploit knowledge... Sample PDF
Machine Learning and Financial Investing
Chapter 96
Frank Wimberly, David Danks, Clark Glymour, Tianjiao Chu
Machine learning methods to find graphical models of genetic regulatory networks from cDNA microarray data have become increasingly popular in... Sample PDF
Problems for Structure Learning Aggregation and Computational Complexity
Chapter 97
Witold Pedrycz
Information granules and ensuing Granular Computing offer interesting opportunities to endow processing with an important facet of human-centricity.... Sample PDF
Granular Computing and Human-Centricity in Computational Intelligence
Chapter 98
A. Pablo Iannone
This chapter asks: What is information overload? At what levels of existence does it occur? Are there any features common to information overload at... Sample PDF
Walking the Information Overload Tightrope
Chapter 99
Antoni Gomila, Alberto Amengual
In this chapter we raise some of the moral issues involved in the current development of robotic autonomous agents. Starting from the connection... Sample PDF
Moral Emotions for Autonomous Agents
Chapter 100
John P. Sullins
This chapter will argue that artificial agents created or synthesized by technologies such as artificial life (ALife), artificial intelligence (AI)... Sample PDF
Artificial Moral Agency in Technoethics
Chapter 101
C. Gros
All self-active living beings need to solve the motivational problem—the question of what to do at any moment of their life. For humans and... Sample PDF
Emotions, Diffusive Emotional Control and the Motivational Problem for Autonomous Cognitive Systems
Chapter 102
David Casacuberta , Saray Ayala, Jordi Vallverdú
After several decades of success in different areas and numerous effective applications, algorithmic Artificial Intelligence has revealed its... Sample PDF
Embodying Cognition: A Morphological Perspective
Chapter 103
Mehdi Najjar, André Mayers
Encouraging results of last years in the field of knowledge representation within virtual learning environments confirms that artificial... Sample PDF
A Cognitive Computational Knowledge Representation Theory
Chapter 104
Thomas S. Barbalet
Inspired by observing bacterial growth in agar and by the transfer of information through simple agar simulations, the cognitive simulation of Noble... Sample PDF
Noble Ape’s Cognitive Simulation: From Agar to Dreaming and Beyond
Chapter 105
James F. Peters, Shabnam Shahfar
The problem considered in this chapter is how to use the observed behavior of organisms as a basis for machine learning. The proposed approach for... Sample PDF
Ethology-Based Approximate Adaptive Learning: A Near Set Approach
Chapter 106
Abdelhamid Bouchachia
Recently the field of machine learning, pattern recognition, and data mining has witnessed a new research stream that is learning with partial... Sample PDF
Learning with Partial Supervision
Chapter 107
Michael Schmuker, Gisbert Schneider
The purpose of the olfactory system is to encode and classify odorants. Hence, its circuits have likely evolved to cope with this task in an... Sample PDF
Brain-Like Processing and Classification of Chemical Data: An Approach Inspired by the Sense of Smell
Chapter 108
Ali Dogru, Pinar Senkul, Ozgur Kaya
The amazing evolution fuelled by the introduction of the computational element has already changed our lives and continues to do so. Initially, the... Sample PDF
Modern Approaches to Software Engineering in the Compositional Era
Chapter 109
Andrew K.C. Wong, Yang Wang, Gary C.L. Li
A basic task of machine learning and data mining is to automatically uncover patterns that reflect regularities in a data set. When dealing with a... Sample PDF
Pattern Discovery as Event Association
Chapter 110
Lung-Hsiang Wong, Chee-Kit Looi
One major direction in research on technology-enabled learning systems revolves round the notion of generating optimal learning pathways. Two... Sample PDF
A Survey of Optimized Learning Pathway Planning and Assessment Paper Generation with Swarm Intelligence
Chapter 111
Nik Bessis, Eleana Asimakopoulou, Peter Norrington, Suresh Thomas, Ravi Varaganti
Much work is underway within the broad next generation technologies community on issues associated with the development of services to support... Sample PDF
A Next Generation Technology Victim Location and Low Level Assessment Framework for Occupational Disasters Caused by Natural Hazards
Chapter 112
Siu-Yeung Cho, Teik-Toe Teoh, Yok-Yen Nguwi
Facial expression recognition is a challenging task. A facial expression is formed by contracting or relaxing different facial muscles on human face... Sample PDF
Facial Expression Analysis by Machine Learning
Chapter 113
Zhiyong Wang, Dagan Feng
Visual information has been immensely used in various domains such as web, education, health, and digital libraries, due to the advancements of... Sample PDF
Discovering Semantics from Visual Information
Chapter 114
Eduardo Romero, Fabio González
This chapter introduces the reader into the main topics covered by the book: biomedical images, biomedical image analysis and machine learning. The... Sample PDF
From Biomedical Image Analysis to Biomedical Image Understanding Using Machine Learning
Chapter 115
C. Ugwu, N. L Onyejegbu, I. C Obagbuwa
Healthcare delivery in African nations has long been a worldwide issue, which is why the United Nations and World Health Organization seek for ways... Sample PDF
The Application of Machine Learning Technique for Malaria Diagnosis
Chapter 116
G.M. Shafiullah, Adam Thompson, Peter J. Wolfs, A.B.M. Shawkat Ali
Emerging wireless sensor networking (WSN) and modern machine learning techniques have encouraged interest in the development of vehicle health... Sample PDF
Application of Machine Learning Techniques for Railway Health Monitoring
Chapter 117
A. Maffezzoli, E. Wanke
In the present chapter authors want to expose new insights in the field of Computational Neuroscience at regard to the study of neuronal networks... Sample PDF
Explorative Data Analysis of In-Vitro Neuronal Network Behavior Based on an Unsupervised Learning Approach
Chapter 118
Mohamed M. Mostafa
The per capita Ecological Footprint (EF) is one of the most-widely recognized measures of environmental sustainability. It seeks to quantify the... Sample PDF
Modeling the Ecological Footprint of Nations via Evolutionary Computation and Machine Learning Models
Chapter 119
Gulden Uchyigit
The popularisation of mass customization and the need for integration of the user needs into the design, production and marketing phases has called... Sample PDF
Adaptive Interaction for Mass Customisation
Chapter 120
Ruket Çakici
Annotated data have recently become more important, and thus more abundant, in computational linguistics . They are used as training material for... Sample PDF
Dependency Parsing: Recent Advances