Fast Algorithms For Mining Association Rules In Large Databases
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Author | : Vera Kurkova |
Publisher | : Springer Science & Business Media |
Total Pages | : 528 |
Release | : 2001-04-11 |
Genre | : Computers |
ISBN | : 9783211836514 |
The first ICANNGA conference, devoted to biologically inspired computational paradigms, Neural Net works and Genetic Algorithms, was held in Innsbruck, Austria, in 1993. The meeting attracted researchers from all over Europe and further afield, who decided that this particular blend of topics should form a theme for a series of biennial conferences. The second meeting, held in Ales, France, in 1995, carried on the tradition set in Innsbruck of a relaxed and stimulating environment for the. exchange of ideas. The series has continued in Norwich, UK, in 1997, and Portoroz, Slovenia, in 1999. The Institute of Computer Science, Czech Academy of Sciences, is pleased to host the fifth conference in Prague. We have chosen the Liechtenstein palace under the Prague Castle as the conference site to enhance the traditionally good atmosphere of the meeting. There is an inspirational genius loci of the historical center of the city, where four hundred years ago a fruitful combination of theoretical and empirical method, through the collaboration of Johannes Kepler and Tycho de Brahe, led to the discovery of the laws of planetary orbits.
Author | : Charu C. Aggarwal |
Publisher | : Springer |
Total Pages | : 480 |
Release | : 2014-08-29 |
Genre | : Computers |
ISBN | : 3319078216 |
This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the topic, a case study and future directions. Key topics include: Pattern Growth Methods, Frequent Pattern Mining in Data Streams, Mining Graph Patterns, Big Data Frequent Pattern Mining, Algorithms for Data Clustering and more. Advanced-level students in computer science, researchers and practitioners from industry will find this book an invaluable reference.
Author | : Peter Buneman |
Publisher | : Assn for Computing Machinery |
Total Pages | : 566 |
Release | : 1993-01-01 |
Genre | : Computer science |
ISBN | : 9780897915922 |
Author | : Jure Leskovec |
Publisher | : Cambridge University Press |
Total Pages | : 480 |
Release | : 2014-11-13 |
Genre | : Computers |
ISBN | : 1107077230 |
Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.
Author | : Leila Kosseim |
Publisher | : Springer |
Total Pages | : 398 |
Release | : 2012-05-09 |
Genre | : Computers |
ISBN | : 9783642303524 |
This book constitutes the refereed proceedings of the 25th Canadian Conference on Artificial Intelligence, Canadian AI 2012, held in Toronto, Canada, in May 2012. The 23 regular papers, 16 short papers, and 4 papers from the Graduate Student Symposium presented were carefully reviewed and selected for inclusion in this book. The papers cover a broad range of topics presenting original work in all areas of artificial intelligence, either theoretical or applied.
Author | : Wesley Chu |
Publisher | : Springer Science & Business Media |
Total Pages | : 360 |
Release | : 2005-09-15 |
Genre | : Computers |
ISBN | : 9783540250579 |
With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are presented. It brings together a set of well respected data mining theoreticians and researchers with practical data mining experiences. The presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions.
Author | : Leszek Rutkowski |
Publisher | : Springer |
Total Pages | : 695 |
Release | : 2010-06-20 |
Genre | : Computers |
ISBN | : 3642132081 |
This volume constitutes the proceedings of the 10th International Conference on Artificial Intelligence and Soft Computing, ICAISC'2010, held in Zakopane, Poland in June 13-17, 2010. The articles are organized in topical sections on Fuzzy Systems and Their Applications; Data Mining, Classification and Forecasting; Image and Speech Analysis; Bioinformatics and Medical Applications (Volume 6113) together with Neural Networks and Their Applications; Evolutionary Algorithms and Their Applications; Agent System, Robotics and Control; Various Problems aof Artificial Intelligence (Volume 6114).
Author | : Ning Zhong |
Publisher | : Springer Science & Business Media |
Total Pages | : 566 |
Release | : 1999-04-14 |
Genre | : Computers |
ISBN | : 3540658661 |
This book constitutes the refereed proceedings of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD '99, held in Beijing, China, in April 1999. The 29 revised full papers presented together with 37 short papers were carefully selected from a total of 158 submissions. The book is divided into sections on emerging KDD technology; association rules; feature selection and generation; mining in semi-unstructured data; interestingness, surprisingness, and exceptions; rough sets, fuzzy logic, and neural networks; induction, classification, and clustering; visualization; causal models and graph-based methods; agent-based and distributed data mining; and advanced topics and new methodologies.
Author | : Hillol Kargupta |
Publisher | : SIAM |
Total Pages | : 670 |
Release | : 2005-04-01 |
Genre | : Mathematics |
ISBN | : 9780898715934 |
The Fifth SIAM International Conference on Data Mining continues the tradition of providing an open forum for the presentation and discussion of innovative algorithms as well as novel applications of data mining. Advances in information technology and data collection methods have led to the availability of large data sets in commercial enterprises and in a wide variety of scientific and engineering disciplines. The field of data mining draws upon extensive work in areas such as statistics, machine learning, pattern recognition, databases, and high performance computing to discover interesting and previously unknown information in data. This conference results in data mining, including applications, algorithms, software, and systems.
Author | : Xindong Wu |
Publisher | : CRC Press |
Total Pages | : 230 |
Release | : 2009-04-09 |
Genre | : Business & Economics |
ISBN | : 142008965X |
Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a description of each algorithm, discusses its impact, and reviews current and future research. Thoroughly evaluated by independent reviewers, each chapter focuses on a particular algorithm and is wri