Description
Particularly in the fields of software engineering, virtual reality, and computer science, data mining techniques play a critical role in the success of a variety of projects and endeavors. Understanding the available tools and emerging trends in this field is an important consideration for any organization.
Data Mining and Analysis in the Engineering Field explores current research in data mining, including the important trends and patterns and their impact in fields such as software engineering. With a focus on modern techniques as well as past experiences, this vital reference work will be of greatest use to engineers, researchers, and practitioners in scientific-, engineering-, and business-related fields.
Reviews and Testimonials
This 17-chapter collection brings together computer scientists and engineers from India, the US, Europe, and the Middle East, who discuss data mining tools and techniques in engineering areas like software engineering, fractals, and virtual reality. They discuss detecting malware; the application of data mining and analysis to renewable energy network design and optimization; the use of graphs in software bug repositories; the use of data mining in the software development life cycle; uses in civil engineering in terms of the pull out capacity of small ground anchors; and more.
– ProtoView Book Abstracts (formerly Book News, Inc.)
Author's/Editor's Biography
Vishal Bhatnagar (Ed.)
Vishal Bhatnagar received the B-Tech degree in Computer-Science and Engineering from Nagpur University in Nagpur, India in 1999 and the M-Tech in Information-Technology from Punjabi University, Patiala, India in 2005 and PhD from Shobhit University in 2010.Vishal Bhatnagar is Associate Professor in Computer-Science and Engineering department at Ambedkar Institute of Advanced Communication Technologies and Research (Govt. of Delhi), GGSIPU, Delhi, India. His research interests include Database, Advance Database, Data warehouse and Data-mining. He has been in teaching for more than eight years. He has guided under-graduate and post-graduate students in various research projects of databases and data mining.