Predictive Analysis on Large Data for Actionable Knowledge: Emerging Research and Opportunities

Predictive Analysis on Large Data for Actionable Knowledge: Emerging Research and Opportunities

Noted as an IGI Global Core Reference Title in Library & Information Science for 2019.

Muhammad Usman (Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Pakistan) and M. Usman (Pakistan Scientific and Technological Information Center (PASTIC), Pakistan)
Release Date: January, 2018|Copyright: © 2018 |Pages: 177
DOI: 10.4018/978-1-5225-5029-7
ISBN13: 9781522550297|ISBN10: 1522550291|EISBN13: 9781522550303
Hardcover:
Available
$135.00
TOTAL SAVINGS: $135.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
E-Book:
(Multi-User License)
Available
$121.50
List Price: $135.00
10% Discount:-$13.50
TOTAL SAVINGS: $13.50
Benefits
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • ePub with PDF download
Hardcover +
E-Book:
(Multi-User License)
Available
$160.00
TOTAL SAVINGS: $160.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • ePub with PDF download
OnDemand:
(Individual Chapters)
Available
$37.50
TOTAL SAVINGS: $37.50
Benefits
  • Purchase individual chapters from this book
  • Immediate PDF download after purchase or access through your personal library
Description & Coverage
Description:

Data analysis forms the basis of many modes of research ranging from scientific discoveries to governmental findings. With the advent of machine intelligence and neural networks, extracting and modeling, approaching data has been unimpeachably altered. These changes, seemingly small, affect the way societies organize themselves, deliver services, or interact with each other.

Predictive Analysis on Large Data for Actionable Knowledge: Emerging Research and Opportunities provides emerging information on extraction and prediction patterns in data mining along with knowledge discovery. While highlighting the current issues in data extraction, readers will learn new methodologies comprising of different algorithms that automate the multidimensional schema that remove the manual processes. This book is a vital resource for researchers, academics, and those seeking new information on data mining techniques and trends.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Association Rule Mining
  • Data Mining
  • Exploratory Pattern Recognition
  • General Hierarchical Clusters
  • Hybrid Techniques
  • Knowledge Discovery
  • Machine Learning
  • Pattern Extraction
  • Prediction Algorithms
  • Principle Component Analysis
  • Visualization Techniques
Table of Contents
Search this Book:
Reset
Editor/Author Biographies
Dr. Muhammad Usman has completed PhD in Computer & Information Sciences from Auckland University of Technology, New Zealand. He is currently an Associate Professor and Head of Computer Science Department at Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad, Pakistan. His research interests include Data Mining, Data Warehousing, Machine Learning, Business Intelligence and Knowledge discovery. He is currently researching in the novel methods and techniques for the seamless integration of Data Mining and Data Warehousing technologies. He has published in international journals and conference proceedings, and he has served as reviewer for a number of premier journals and conferences.
Peer Review Process
The peer review process is the driving force behind all IGI Global books and journals. All IGI Global reviewers maintain the highest ethical standards and each manuscript undergoes a rigorous double-blind peer review process, which is backed by our full membership to the Committee on Publication Ethics (COPE). The full publishing process and peer review are conducted within the IGI Global eEditorial Discovery® online submission system and on average takes 30 days. Learn More
Ethics & Malpractice
IGI Global affirms that ethical publication practices are critical to the successful development of knowledge. Therefore, it is the policy of IGI Global to maintain high ethical standards in all publications. These standards pertain to all books, journals, chapters, and articles accepted for publication. This is in accordance with standard scientific principles and IGI Global’s position as a source of scientific knowledge. Learn More
Archiving
All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci® platform.