- Home
- Machine Learning and Data Mining
- Author : Igor Kononenko
- Publsiher : Elsevier
- Release : 30 April 2007
- ISBN : 0857099442
- Pages : 480 pages
- Rating : 4/5 from 21 reviews
GET THIS BOOKMachine Learning and Data Mining
Read or download book entitled Machine Learning and Data Mining written by Igor Kononenko which was release on 30 April 2007, this book published by Elsevier. Available in PDF, EPUB and Kindle Format. Book excerpt: Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. This book has been written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining. Suitable for advanced undergraduates and their tutors at postgraduate level in a wide area of computer science and technology topics as well as researchers looking to adapt various algorithms for particular data mining tasks. A valuable addition to the libraries and bookshelves of the many companies who are using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions. Provides an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining A valuable addition to the libraries and bookshelves of companies using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions
- Author : Igor Kononenko,Matjaz Kukar
- Publisher : Elsevier
- Release Date : 2007-04-30
- Total pages : 480
- ISBN : 0857099442
GET BOOK
Summary : Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific ...
- Author : Xin-She Yang
- Publisher : Academic Press
- Release Date : 2019-06-17
- Total pages : 188
- ISBN : 0857099442
GET BOOK
Summary : Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills ...
- Author : Xin-She Yang
- Publisher : Academic Press
- Release Date : 2019-07-15
- Total pages : 188
- ISBN : 0857099442
GET BOOK
Summary : Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills ...
- Author : S. Sumathi,S.N. Sivanandam
- Publisher : Springer
- Release Date : 2006-10-12
- Total pages : 828
- ISBN : 0857099442
GET BOOK
Summary : This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, artificial intelligence, machine learning, neural ...
- Author : Wolfgang Ertel
- Publisher : Springer
- Release Date : 2018-01-18
- Total pages : 356
- ISBN : 0857099442
GET BOOK
Summary : This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. ...
- Author : Pang-Ning Tan,Michael Steinbach,Vipin Kumar
- Publisher : Pearson Higher Ed
- Release Date : 2013-08-29
- Total pages : 736
- ISBN : 0857099442
GET BOOK
Summary : Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that ...
- Author : Paul Attewell,David Monaghan,Darren Kwong
- Publisher : Univ of California Press
- Release Date : 2015-05
- Total pages : 252
- ISBN : 0857099442
GET BOOK
Summary : "We live, today, in world of big data. The amount of information collected on human behavior every day is staggering, and exponentially greater than at any time in the past. At the same time, we are inundated by stories of powerful algorithms capable of churning through this sea of data ...
- Author : Xin-She Yang
- Publisher : Academic Press
- Release Date : 2020-09-09
- Total pages : 310
- ISBN : 0857099442
GET BOOK
Summary : Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, ...
- Author : Chengqing Zong,Rui Xia,Jiajun Zhang
- Publisher : Springer Nature
- Release Date : 2021-05-22
- Total pages : 351
- ISBN : 0857099442
GET BOOK
Summary : This book discusses various aspects of text data mining. Unlike other books that focus on machine learning or databases, it approaches text data mining from a natural language processing (NLP) perspective. The book offers a detailed introduction to the fundamental theories and methods of text data mining, ranging from pre-processing (...
- Author : Guozhu Dong,Huan Liu
- Publisher : CRC Press
- Release Date : 2018-03-14
- Total pages : 400
- ISBN : 0857099442
GET BOOK
Summary : Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the quality of the ...
- Author : Peter Flach
- Publisher : Cambridge University Press
- Release Date : 2012-09-20
- Total pages : 409
- ISBN : 0857099442
GET BOOK
Summary : As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, ...
- Author : Sumeet Dua,Xian Du
- Publisher : CRC Press
- Release Date : 2016-04-19
- Total pages : 256
- ISBN : 0857099442
GET BOOK
Summary : With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role in cybersecurity. Although several conferences, workshops, and journals focus on the fragmented research topics in this area, there has been no single interdisciplinary resource on past and current works and possible...
- Author : Sankar K. Pal,Pabitra Mitra
- Publisher : CRC Press
- Release Date : 2004-05-27
- Total pages : 280
- ISBN : 0857099442
GET BOOK
Summary : Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. This volume presents various theories, methodologies, and algorithms, using both classical approaches ...
- Author : Dr. S. RANGA SWAMY, Dr. A. Gautami Latha,Dr. B. Narendra Kumar ,Dr.V.Anantha Krishna
- Publisher : Shashwat Publication
- Release Date : 2021-04-26
- Total pages : 135
- ISBN : 0857099442
GET BOOK
Summary : Machine learning was built from an engineering perspective, while machine learning was born out of a computer science approach. In the one side the operations may be looked at as two different areas, but they have grown in tandem over the past years and around the same period. Other than ...
- Author : Ni-Bin Chang,Kaixu Bai
- Publisher : CRC Press
- Release Date : 2018-02-21
- Total pages : 508
- ISBN : 0857099442
GET BOOK
Summary : In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive ...
