Computational Intelligence In Data Mining
DOWNLOAD
Download Computational Intelligence In Data Mining PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Computational Intelligence In Data Mining book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Computational Intelligence In Data Mining
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2018-05
Computational Intelligence In Data Mining written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05 with categories.
The artificial intelligence has experienced remarkable advances in the last decades and has reached maturity as a research field, its sibling, computational creativity, is in earlier phases of its development. In our society the amount of data doubles almost every year. It is a great challenge to deal Big Data. Hence, there is an urgent need for a new generation of computationally intelligent techniques and tools to assist humans in extracting useful information (knowledge) from the rapidly growing volume of data.This book investigates the knowledge about innovative, active research directions in the field of data mining, machine and computational intelligence, in consort with current issues and applications of related topics. It includes research issues of developments of data mining and applications as well as addresses the difficulties and challenges of computational intelligence methods. Understanding the big data is very tedious task that reflects into revolutionary change in research methodology as well as tools to be employed in various applications. In modern decision support systems, data mining is the most prevalent and powerful tool used for extraction of useful, implicit and previously not known information from large data bases. Many of these data mining tasks search for the frequently occurring interesting patterns. This is done by using machine learning techniques. The conventional database management tools which are present now are not suitable to big data processing applications. Therefore we require Computational Intelligence to solve real world problems. This book serves as guiding tool for students, practitioners, as well for those who are pursuing research in this field.
Computational Intelligence In Data Mining
DOWNLOAD
Author : Janmenjoy Nayak
language : en
Publisher: Springer Nature
Release Date : 2022-05-06
Computational Intelligence In Data Mining written by Janmenjoy Nayak and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-06 with Technology & Engineering categories.
This book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book is a collection of high-quality peer-reviewed research papers presented in the Sixth International Conference on Computational Intelligence in Data Mining (ICCIDM 2021) held at Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, India, during December 11–12, 2021. The book addresses the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.
Computational Intelligence In Data Mining Volume 2
DOWNLOAD
Author : Lakhmi C. Jain
language : en
Publisher: Springer
Release Date : 2014-12-10
Computational Intelligence In Data Mining Volume 2 written by Lakhmi C. Jain and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-10 with Technology & Engineering categories.
The contributed volume aims to explicate and address the difficulties and challenges that of seamless integration of the two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations’ databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.
Data Mining With Computational Intelligence
DOWNLOAD
Author : Lipo Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-08
Data Mining With Computational Intelligence written by Lipo Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-08 with Computers categories.
Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, banking, retail, and many others. Wang and Fu present in detail the state of the art on how to utilize fuzzy neural networks, multilayer perceptron neural networks, radial basis function neural networks, genetic algorithms, and support vector machines in such applications. They focus on three main data mining tasks: data dimensionality reduction, classification, and rule extraction. The book is targeted at researchers in both academia and industry, while graduate students and developers of data mining systems will also profit from the detailed algorithmic descriptions.
Foundations Of Computational Intelligence
DOWNLOAD
Author : Ajith Abraham
language : en
Publisher: Springer
Release Date : 2010-10-28
Foundations Of Computational Intelligence written by Ajith Abraham and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-28 with Mathematics categories.
Foundations of Computational Intelligence Volume 6: Data Mining: Theoretical Foundations and Applications Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, business, health care, banking, retail, and many others. Advanced representation schemes and computational intelligence techniques such as rough sets, neural networks; decision trees; fuzzy logic; evolutionary algorithms; arti- cial immune systems; swarm intelligence; reinforcement learning, association rule mining, Web intelligence paradigms etc. have proved valuable when they are - plied to Data Mining problems. Computational tools or solutions based on intel- gent systems are being used with great success in Data Mining applications. It is also observed that strong scientific advances have been made when issues from different research areas are integrated. This Volume comprises of 15 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Int- ligence techniques for Data Mining. The book is divided into 3 parts: Part-I: Data Click Streams and Temporal Data Mining Part-II: Text and Rule Mining Part-III: Applications Part I on Data Click Streams and Temporal Data Mining contains four chapters that describe several approaches in Data Click Streams and Temporal Data Mining.
Computational Intelligence In Data Mining Volume 1
DOWNLOAD
Author : Lakhmi C. Jain
language : en
Publisher: Springer
Release Date : 2014-12-10
Computational Intelligence In Data Mining Volume 1 written by Lakhmi C. Jain and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-10 with Technology & Engineering categories.
The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations’ databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.
Computational Intelligence In Data Mining
DOWNLOAD
Author : Himansu Sekhar Behera
language : en
Publisher: Springer
Release Date : 2018-07-03
Computational Intelligence In Data Mining written by Himansu Sekhar Behera and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-03 with Computers categories.
The International Conference on “Computational Intelligence in Data Mining” (ICCIDM), after three successful versions, has reached to its fourth version with a lot of aspiration. The best selected conference papers are reviewed and compiled to form this volume. The proceedings discusses the latest solutions, scientific results and methods in solving intriguing problems in the fields of data mining, computational intelligence, big data analytics, and soft computing. The volume presents a sneak preview into the strengths and weakness of trending applications and research findings in the field of computational intelligence and data mining along with related field.
Computational Intelligence In Data Mining
DOWNLOAD
Author : Himansu Sekhar Behera
language : en
Publisher: Springer
Release Date : 2017-05-19
Computational Intelligence In Data Mining written by Himansu Sekhar Behera and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-19 with Technology & Engineering categories.
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.
Computational Intelligence In Data Mining
DOWNLOAD
Author : Himansu Sekhar Behera
language : en
Publisher: Springer
Release Date : 2019-08-18
Computational Intelligence In Data Mining written by Himansu Sekhar Behera and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-18 with Computers categories.
This proceeding discuss the latest solutions, scientific findings and methods for solving intriguing problems in the fields of data mining, computational intelligence, big data analytics, and soft computing. This gathers outstanding papers from the fifth International Conference on “Computational Intelligence in Data Mining” (ICCIDM), and offer a “sneak preview” of the strengths and weaknesses of trending applications, together with exciting advances in computational intelligence, data mining, and related fields.
Data Mining And Computational Intelligence
DOWNLOAD
Author : Abraham Kandel
language : en
Publisher:
Release Date : 2014-01-15
Data Mining And Computational Intelligence written by Abraham Kandel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.