Computational Intelligence In Data Mining: Proceedings Of The International Conference On Cidm, 10-11 December 2016

Download Computational Intelligence In Data Mining: Proceedings Of The International Conference On Cidm, 10-11 December 2016

The book presents high quality papers presented at the International Conference on Computational Intelligence in Data Mining (ICCIDM 2016) organized by School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India during December 10 – 11, 2016. The book disseminates the knowledge about innovative, active research directions in the field of data mining, machine and computational intelligence, along with current issues and applications of related topics. The volume aims to explicate and address the difficulties and challenges that of seamless integration of the two core disciplines of computer science.

Recent Advances On Soft Computing And Data Mining

Download Recent Advances On Soft Computing And Data Mining

Editors: Herawan, T., Ghazali, R., Nawi, N.M., Deris, M.M. (Eds.) This book provides a comprehensive introduction and practical look at the concepts and techniques readers need to get the most out of their data in real-world, large-scale data mining projects. It also guides readers through the data-analytic thinking necessary for extracting useful knowledge and business value from the data. The book is based on the Soft Computing and Data Mining (SCDM-16) conference, which was held in Bandung, Indonesia on August 18th–20th 2016 to discuss the state of the art in soft computing techniques, and offer participants sufficient knowledge to tackle a wide range of complex systems. The scope of the conference is reflected in the book, which presents a balance of soft computing techniques and data mining approaches. The two constituents are introduced to the reader systematically and brought together using different combinations of applications and practices. It offers engineers, data analysts, practitioners, scientists and managers the insights into the concepts, tools and techniques employed, and as such enables them to better understand the design choice and options of soft computing techniques and data mining approaches that are necessary to thrive in this data-driven ecosystem. XXI, 649 88 b/w illustrations, 113 illustrations in colour Computational Intelligence Artificial Intelligence (incl. Robotics) Data Mining and Knowledge Discovery

Data Mining And Constraint Programming: Foundations Of A Cross-disciplinary Approach

Download Data Mining And Constraint Programming: Foundations Of A Cross-disciplinary Approach

A successful integration of constraint programming and data mining has the potential to lead to a new ICT paradigm with far reaching implications. It could change the face of data mining and machine learning, as well as constraint programming technology. It would not only allow one to use data mining techniques in constraint programming to identify and update constraints and optimization criteria, but also to employ constraints and criteria in data mining and machine learning in order to discover models compatible with prior knowledge.

This book reports on some key results obtained on this integrated and cross- disciplinary approach within the European FP7 FET Open project no. 284715 on “Inductive Constraint Programming” and a number of associated workshops and Dagstuhl seminars. The book is structured in five parts: background; learning to model; learning to solve; constraint programming for data mining; and showcases.

An Introduction To Excel Vba Programming: With Applications In Finance And Insurance

Download An Introduction To Excel Vba Programming: With Applications In Finance And Insurance

Guojun Gan is an Assistant Professor in the Department of Mathematics at the University of Connecticut, where he has been since August 2014. Prior to that, he worked at Manulife Financial, a large life insurance company in Toronto, Canada, for six years. His research focuses on data mining and actuarial science. He has published four books and several papers related to data mining, actuarial science, and mathematical finance.