Calls for Papers (special): International Journal of Information Technology and Web Engineering (IJITWE)


Special Issue On: Social Media Data Analysis

Guest Editors
Dr. Gabriel Antoniu, Senior Research Scientist, Inria.
Dr. Louis Thomas, Postdoctoral research fellow, Department of Electrical and Computer Engineering University of Alberta, Canada

Introduction
In the past several years, enormous pioneering research has been performed by numerous researchers in the interdisciplinary fields of data mining, social computing, social network analysis, network science, computer science, and the social sciences. But in the big data era, where hundreds of millions of people spending countless hours on social media to share, communicate, connect, interact, and create user-generated data at an unprecedented rate, social media has become one unique source of big data. This novel source of rich data provides unparalleled opportunities and great potential for research and development. Unfortunately, more data does not necessarily beget more good data, only more of the right (or relevant) data that enables us to glean gems. Social media data differs from traditional data we are familiar with in data mining. Thus, new computational methods are needed to mine the data. Social media data is noisy, free-format, of varying length, and multimedia. Furthermore, social relations among the entities, or social networks, form an inseparable part of social media data; hence, it is important that social theories and research methods be employed with statistical and data mining methods. It is therefore a propitious time for social media mining.

Social media mining is a new and rapidly growing field. It is an interdisciplinary field at the crossroads of disparate disciplines deeply rooted in computer science and social sciences. There is an active community and a large body of literature about social media. The fast-growing interests and intensifying need to harness social media data require research and the development of tools for finding insights from big social media data. Researchers in this emerging field are expected to have knowledge in different areas, such as data mining, machine learning, text mining, social network analysis, and information retrieval, and are often required to consult research papers to learn the state of the art of social media mining. This special issue aims to bring, for academics as well as industrial practitioners, a set of articles discussing the recent patents on core topics of social media mining, including social media data mining, social computing, social network analysis, network science, computer science, the social sciences and so on.

Recommended Topics
Suggested topics include, but are not limited to the following.

  • Social media modelling
  • Social computing
  • Social sciences
  • Social network analysis
  • Social media content analysis
  • Social media search
  • Social recommendation systems
  • Social media query, management, and indexing
  • Social media mining
  • Multi-modality fusion
  • Multimedia summarization, visualization and recommendation
  • Multimedia tagging and annotation
  • Geo-tagged social media analysis
  • Integration of social media with location data
  • User behavior analysis
  • Social media monetization
  • Privacy and security issues
  • New opportunities


Submission Procedure
Authors should prepare their manuscript according to the Editor's guide at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All the papers will be peer-reviewed following the International Journal of Information Technology and Web Engineering (IJITWE) reviewing procedures. All papers should uploaded to the submission system and must follow APA style

Important Dates
December 31, 2017: Full paper submission due
March 31, 2018: Paper acceptance decision
May 30, 2017: Publication

All submissions and inquiries should be directed to the attention of:
Gabriel Antoniu
Guest Editor
International Journal of Information Technology and Web Engineering (IJITWE)
Email:gabriel_antoniu@outlook.com

Guest Editor's bios
Gabriel Antoniu is a Senior Research Scientist at Inria, Rennes. He leads the KerData research team, focusing on storage and I/O management for Big Data processing on scalable infrastructures (clouds, HPC systems). He received his PhD degree in Computer Science in 2001 from ENS Lyon. He leads several international projects in partnership with Microsoft Research, IBM, Argonne National Lab, the University of Illinois at Urbana Champaign. He served as Program Chair for the IEEE Cluster 2014 conference and regularly serves as a PC member of major conferences in the area of HPC, cloud computing and Big Data (SC, HPDC, CCGRID, Cluster, Big Data, etc.). He has acted as advisor for 15 PhD theses and has co-authored over 100 international publications.

Louis Thomas received his MSc degree in Pure Mathematics from the Mathematics Institute of Jilin University, Jilin, China, in 2010, and his PhD degree in Applied Mathematics from McGill University, Montreal, Canada, in 2015. He was a postdoctoral research fellow at Laboratoire LIP, ENS de Lyon from March 2015 to August 2016. He is currently working as a postdoctoral research fellow at department of Electrical and Computer Engineering, University of Alberta. His research interests are in the areas of lattice reduction with applications in communications, signal processing and cryptography, and sparse recovery. He was a Guest Editor for 4 special issues including one in ACM/Springer Mobile Networks and Applications. He is also a reviewer of many journals, such as JNCA, IEEE Trans on Information Theory, IEEE Transactions on Industrial Informatics. He is also the author of more than ten high-quality papers.

Special Issue On: Intelligent Approaches toward the Future in Internet of Things (SI-IAIOT)

Submission Due Date
10/30/2017

Guest Editors
Dr. Rajeev Arya, CMR Engineering College, (Jawaharlal Nehru Technology University), Hyderabad, India
Dr. S. C. Sharma,Indian Institute of Technology Roorkee, Uttarakhand, India
Dr. Shamimul Qamar,King Khalid University, Abha, Saudi Arabia

Introduction
Internet of Things is a field that digitized the physical world. It has great prospects for the future and is becoming very popular. Thousands of researchers around the world are currently working in systems based on the Internet of Things. IoT is basically a technology concept and/or an architecture which is an aggregation of already available technologies. The core of many IoT systems is based in a network of smart things or connected sensors or a network of embedded system. These systems are already being applied in a lot of areas like smart cities, smart healthcare innovation, smart homes, smart agriculture, industrial automation as food processing & marketing in Food industry, Garbage management and monitoring systems, etc. The Internet of Things (IoT) brings traditional Internet industry and society with new trends and promising technologies. The objective of Internet of things is to bring together people, process, data and things to make networked connections more relevant and valuable than ever before, turning information into actions that create new capabilities, richer experiences and unprecedented economic opportunity for business, individuals and countries. IoT Applications range from Digital sensor tools/ Interfaces used for remote applications to smarter and more well connected mobile devices, industrial machine learning systems and other types of distributed hardware that have recently become more intelligent and automated. The rapid growth in Information & communication technology and the power of the Internet has strongly impacted the business and service delivery models of today‘s global environment. These objects are uniquely addressable and use standard communication protocol and communicate in a heterogeneous networking environment. We are entering into the smart world where the ways of doing things are being changed; with wired or wireless sensors collecting huge data sets to measure the physical world and taking Analytical steps to reach intelligent decisions. Internet of Things can also be considered as a subset of traditional Big Data. The actual pattern and nature of such data is indistinct, but is certainly large, complex, in homogeneous structure and unstructured. The swift growth of sensing devices under Internet of Things purview is generating such bulky, complex and heterogeneous data that the available computing capacity of the existing systems are unable to successfully match up the data challenges of today; this has emerged as one of the core issues for the data science community. Extracting precise inferences from raw sensor data is not easy within the noisy and multifaceted environments. Deep Learning is one of the most promising approaches for prevailing over this challenge, and achieving reliable inference. As Internet of Things and its applications are majorly impacting human life, the scientific communities consider a wider outreach from the processing and sharing of Internet of Things across the variety of the several commodity devices around us. Thus, the development of new technologies encourages to cater the current data processing requirement.

Objective
This special issue intends to bring together theoreticians and practitioners from academia and industries worldwide working in a broad range of topics relevant to the theory and practice of Intelligent Approaches toward the Future in Internet of Things to promote ideas that will influence and encourage researchers to work for the betterment of mankind.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:

  • Architectures and protocols for wireless networks
  • MAC, routing and transport protocols for wireless networks
  • Energy efficient wireless devices
  • Sensor data processing and integration
  • Smart healthcare innovation using IoT
  • IoT applications, services, integrations, Cognitive
  • Deep learning with wireless network: algorithm and applications
  • IoT with deep learning
  • Standards like IEEE 802.15.4 and Energy efficient protocols for IoT
  • Novel architectures, concepts, principles, and mechanisms for IoT
  • Big data analysis, Cloud, fog, and edge computing for IoT
  • Security and Privacy issues in IoT
  • Middleware, frameworks and distributed applications for coordinating devices in IoT
  • Solutions to improve IoT big data networks - congestion, scalability
  • Hardening security for IoT - Challenges and solutions
  • Localization and location aware routing protocols
  • Energy-efficiency in mobile ad hoc networks, vehicular networks, wireless sensor networks
  • Physical layer techniques, channel/network coding for energy efficiency MAC
  • Routing and transport protocols for wireless ad hoc networks


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Intelligent Approaches toward the Future in Internet of Things (SI-IAIOT) before 30th October, 2017. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Dr. Rajeev Arya
Guest Editor
International Journal of Information Technology and Web Engineering (IJITWE)
E-mail: rajeev.arya.ism@gmail.com

Special Issue On: Advanced Machine Learning in Cloud Computing

Submission Due Date
10/31/2017

Guest Editors
Brojo Kishore Mishra, C. V. Raman College of Engineering, Bhubaneswar, India
Sanjaya Kumar Panda, VSS University of Technology, Burla, India
Sheng-Lung Peng, National Dong Hwa University, Hualian, Taiwan

Introduction
The field of machine learning and cloud computing has drawn enormous attention in business and research communities. In recent years, many machine learning applications have been developed such as bioinformatics, internet fraud detection, game playing, marketing, natural language processing, recommender systems and sentiment analysis. However, applying machine learning techniques for cloud computing can be challenging. It requires concepts, algorithms and results from many emerging fields, including artificial intelligence, cognitive science, computational complexity, control theory, statistics and information theory.

In this special issue, we are seeking both novel applications of these techniques and related theories / case studies.

Recommended Topics
Topics include Novel Applications, Case Studies and Services of Advanced Machine Learning in Cloud Computing, but are not limited to the following:

1. Applications
  • Application of CloudMoyo in Revenue Analysis & Prediction
  • Innovative Cloud Applications and Experiences
  • Machine Learning Applications in Enterprise Business
  • Machine Learning Applications to Cloud Computing
2. Case Studies
  • Case studies in Games, Machine Learning in the Cloud
  • Case studies on applications of machine learning in manufacturing, retail, healthcare, travel, financial services, sales and marketing, and customer services
  • Case studies on Azure ML
  • Cast studies on Machine learning application for improving forecasting and predictive analytics.
  • Cases on cloud-based ML service applications and evaluations, such as IBM, Google, Microsoft, and Amazon
3. Services
  • Cloud-supported machine learning services
  • Data Analytics & Machine Learning in the Cloud
  • Data analytics for business and government organizations
  • Deep Learning Solutions for Cloud Computing
  • Quality-of-service in cloud computing ML services
  • Security, Privacy, and Compliance Management for Public, Private, and Hybrid Clouds


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Advanced Machine Learning in Cloud Computing on or before October 31st, 2017. All submissions must be original and should not be under review by another publication (N. B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper). INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations. All papers are refereed through a blind peer review process. All papers must be submitted online through E-editorial discovery system.

Important Dates
Submission of Manuscripts: October 31st , 2017
First Decision Notification: January 31st , 2018
Submission of Revised Articles: February 28th , 2018
Final Decision Notification: March 15th , 2018
Publication: 2018

All submissions and inquiries should be directed to the attention of:
Brojo Kishore Mishra
Sanjaya Kumar Panda
Sheng-Lung Peng

Guest Editors
International Journal of Information Technology and Web Engineering (IJITWE)
Email: brojokishoremishra@gmail.com; sanjayauce@gmail.com; slpeng@mail.ndhu.edu.tw

Special Issue On: Smart and Innovative Trends in Computational Intelligence and Data Science

Submission Due Date
11/30/2017

Guest Editors
Hanumat Sastry G, Associate Professor, School of Computer Science and Engineering, University of Petroleum and Energy Studies, Dehradun, India-248007
Venkatadri M, Associate Professor, School of Computer Science and Engineering, University of Petroleum and Energy Studies, Dehradun, India-248007
Rashmi Sharma, Assistant Professor, School of Computer Science and Engineering, University of Petroleum and Energy Studies, Dehradun, India-248007

Introduction
This special issue of International Journal of Information Technology and Web Engineering aims to explore the advancements in Intelligent and Smart algorithms, techniques and applications that can amplify the Next Generation Computing and its Applications. We are soliciting original and quality papers that presents the smart and intelligent advancements in the fields of Computational Intelligence and Data Science.

Recommended Topics
We are soliciting original and quality papers that presents the smart and intelligent advancements in the fields of Computational Intelligence and Data Science that can amplify Next Generation Computing and its Applications.

  • Neural networks and its applications
  • Evolutionary algorithms and its applications
  • Fuzzy sets and its applications
  • Deep Learning and its applications
  • Data mining with soft computing
  • Big Data Predictive Analytics: Hadoop & MapReduce tools, and Cloud-based Services
  • Data mining analytics approaches and applications: Classification, Clustering, Regression, and Association
  • Feature learning and feature engineering
  • Machine learning algorithms and applications
  • Specialized applications in data mining: Multimedia, Text, Voice, link and graph, and Social Media.
  • Collaborative filtering
  • Crowd sourcing: Theories and Practices, Platforms, and Global Applications.
  • Security, privacy and social impact of data mining


Submission Procedure
This special issue is dedicated to a set of best research papers in the fields of Computational Intelligence and Data Science. Full papers will be subject to a strict review procedure for final selection to this special issue based on the following criteria:

  • Quality and originality in theory and methodology;
  • Relevance to Smart and Intelligent research in Computational Intelligence and Data Science.
  • Application orientation that exhibits originality.
  • If there is an implementation, the details of the implementation must be provided
  • Extended papers must contain significant revision/contributions of more than 50%.
  • Short papers of around 3500 words are not acceptable

Kindly follow the guidelines given in the journal website for submission and manuscript preparation. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at "http://www.igi-global.com/publish/contributor-resources/before-you-write. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

Important Dates
Paper Submission due date: Nov, 30, 2017 ( Extended Papers from NGCT2017 and Open Call)
1st round review notification : Dec, 31, 2017
1st revision due: Jan, 31, 2018
2nd round review notification: Feb, 28, 2018
2nd revision due: Mar, 15, 2018
Final acceptance: Mar, 31, 2018
Publication (tentative) : 2nd Quarter, 2018.

All submissions and inquiries should be directed to the attention of:
Hanumat Sastry G
Venkatadri M
Rashmi Sharma
Guest Editors
International Journal of Information Technology and Web Engineering (IJITWE)
Emails: sastrygh2000@yahoo.com; Venkatadri.mr@gmail.com; rashmi.nov30@gmail.com

Special Issue On: Advanced Research in Privacy and Forensic Analytic of Web Engineering

Submission Due Date
12/25/2017

Guest Editors
Gulshan Shrivastava, National Institute of Technology Patna, India
Nhu Nguyen Gia, Duy Tan University, Vietnam
Gaurav Sharma,Université Libre de Bruxelles, Brussels, Belgium
Mohamed Salim Bouhlel, University of Sfax, Tunisia

Introduction
The internet is a net of networks used for innumerable purposes, even by the public. Statistics show that the penetration of the Internet has increased manifold in the last decade and almost every Tom, Dick and Harry is using the internet for fulfilling their different needs and purposes. The internet, which is also known as, Infobahn, used for purposes such as business (including e-commerce), government, academics and even for domestic purposes. It has become a powerful and an essential medium for exchange/transfer of files, online chat, document sharing and accessing websites on the World Wide Web. it is even a powerful medium for entertainment; as people can play games, get information regarding their respective hobbies and connect with different people including friends using social media. E-learning has greatly replaced classroom learning mandate thus revolutionizing information sharing by adding newfangled dimensions. Web forensic analytics is the measurement, collection, analysis and reporting of internet data for the purpose of understanding and optimizing web usage. It is a tool for measuring web traffic, business and market research by assessing and improving the effectiveness of a website. For instance, it helps to measure change of traffic to a website after the launch of a new advertising campaign, including the number of visitors on the website and number of pages viewed by the visitors.

Objective
Today, websites are important communication channels that reach a massive audience. Measuring the effectiveness of these websites has become a key issue for researchers, as well as practitioners. However, there is no consensus on how to define website effectiveness and which dimensions need to be used for the evaluation of these websites. This problem is more noteworthy for information driven websites like academic, medical and legal advisory websites. The main intent of this special issue to provide a premier international platform fora wide range of professions, including scholars, researchers, academicians and industry people to present and discuss how to bridge the gap by providing an in-depth look into analytics in web data and explaining technologies involved and their relationship to forensic procedures. This special issue covers web database with features beyond trust and privacy capabilities. This special issue will also discusses procedures for the validation, preservation, acquisition, examination, analysis, and reporting of web information and its best practices for the real world.

Recommended Topics
Topics to be discussed in this special issue include the following:

  • Integration of embedded computers, wireless sensor networks, every-day appliances, smart gateways, and tagged objects (RFID, barcodes, QRs, NFC) using a Web approach.
  • Secure converged and integrated systems for web computing.
  • Real-time communication with physical objects (e.g.,WebSockets, Web-RTC, MQTT, CoAP, AMQP).
  • Web-based discovery, search, composition, and physical mashups.
  • Web-based Android application threat analysis.
  • Use of semantic technologies to facilitate the interaction with and between things on the Web.
  • (Meta-)Models and paradigms allowing model-driven approaches for the Web Engineering.
  • Investigation in Smart phone for cyber crime.
  • Security, privacy, access control, and sharing of physical things on the Web.
  • Application of Web tools and techniques in the physical world (e.g., REST, HTML5, 6lowpan, cloud services, social networks).
  • Cloud platforms and services for the Web of Things.
  • Concrete applications, use-cases, deployments, and evaluations of Web-enabled Things in contexts such as smart homes, connected cities, and Web 2.0 enterprises.
  • Privacy and forensic of Web engineering in telecommunication systems.


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Advanced Research in Privacy and Forensic Analytic of Web Engineering on or before December 25, 2017. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis by three exerts in the field. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Gulshan Shrivastava
Guest Editor
International Journal of Information Technology and Web Engineering (IJITWE)
E-mail: gulshan.shrivastava@ieee.org

Special Issue On: Soft Computing Techniques and Web based Applications

Submission Due Date
3/30/2018

Guest Editors
Harry (Haoxiang) Wang, Cornell University, USA
Yufeng Wang, Shanghai Institute of Technology, China
Xiang Wang, University of Science and Technology Beijing, China

Introduction
Soft computing is a set of methods which are highly consistent at the target level and distinctive at the method level. This feature determines the natural complementarity and integration among the soft computing members. The organic combination of its members can often take into account the different aspects of the problem and perspective, complementary advantages, coordination, and achieved good results. Soft computing mainly includes rough set, fuzzy logic, neural network, genetic algorithm, particle swarm algorithm, chaos and other parts while compared with traditional hard computing, soft computing is closer to the objective things themselves, and human thinking more closely with more intelligent to complete the solution to the problem. With the development of related technologies, soft computing has developed rapidly in recent years, and is widely used in many fields, such as the analysis of complex systems, signal processing, pattern recognition, fault diagnosis, data compression and so on. Soft computing and the other areas of professional and technical knowledge combined to form a specific and effective means to solve the problem. And each member between the soft computing are not mutually exclusive, but cooperation, so in solving specific problems can use soft computing technology to realize the complementary advantages.

Since the concept of Web mining was put forward in 1996, it has attracted the interest of many researchers. They have studied and explored Web knowledge discovery from different aspects and in different ways. Web mining data can be derived from the Web server, client and proxy server and the data types are text, pictures, sounds and tags; data characteristics are unmarked, distributed, heterogeneous, semi-structured and time-varying. Therefore, although Web mining can be seen as a special application of data mining, because of its data characteristics and the relevance of people, Web mining is necessarily to be regarded as an independent research area to explore. Under this background, the integration of soft computing techniques and Web based applications is the trend.

Objective
This special issue aims at bringing together researchers in the world working on soft computing techniques with the special applications on Web engineering. We are seeking for the high-quality and unpublished original work that deliver their research in the soft computing techniques. Contributions may present and solve open technical problems, integrate novel solutions efficiently, and focus on the performance evaluation and comparison with existing standards.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:

  • Big Data for Internet-based Services
  • Metadata and Metamodeling
  • Multimedia and User Interfaces
  • Databases and Data Warehouses
  • Distributed and Parallel Applications
  • Protocols and Standards
  • System Integration
  • Web Programming
  • Web Security and Privacy
  • Computational Intelligence on the Web
  • Web Data Mining
  • Learning User Profiles
  • Peer-to-Peer Approaches for Web Application Architectures
  • Reuse and Integration
  • Systematic Reuse of Web Services
  • Use and Integration of Meta-data in Web Applications
  • Web Design Patterns and Pattern Mining
  • Managing Web Application Design, Evolution and Maintenance
  • Meta-Knowledge Discovery and Representation
  • Opinion Mining and Sentiment Analysis
  • Intelligent Web and the E-commerce
  • Intelligent Web and the Art Design and Sciences
  • Intelligent Web and the Management
  • Intelligent Web and the Sport Sciences


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Soft Computing Techniques and Web based Applications on or before August 30, 2017. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Harry (Haoxiang) Wang, Yufeng Wang, Xiang Wang
Guest Editor
International Journal of Information Technology and Web Engineering (IJITWE)
E-mail: hw496@goperception.com