Fast Algorithms for Mining Association Rules and Sequential Patterns - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fast Algorithms for Mining Association Rules and Sequential Patterns write by Ramakrishnan Srikant. This book was released on 1996. Fast Algorithms for Mining Association Rules and Sequential Patterns available in PDF, EPUB and Kindle.
Data Mining for Association Rules and Sequential Patterns
Data Mining for Association Rules and Sequential Patterns - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Mining for Association Rules and Sequential Patterns write by Jean-Marc Adamo. This book was released on 2012-12-06. Data Mining for Association Rules and Sequential Patterns available in PDF, EPUB and Kindle. Recent advances in data collection, storage technologies, and computing power have made it possible for companies, government agencies and scientific laboratories to keep and manipulate vast amounts of data relating to their activities. This state-of-the-art monograph discusses essential algorithms for sophisticated data mining methods used with large-scale databases, focusing on two key topics: association rules and sequential pattern discovery. This will be an essential book for practitioners and professionals in computer science and computer engineering.
Frequent Pattern Mining
Frequent Pattern Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Frequent Pattern Mining write by Charu C. Aggarwal. This book was released on 2014-08-29. Frequent Pattern Mining available in PDF, EPUB and Kindle. 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.
Fast Algorithms for Mining Association Rules in Large Databases
Fast Algorithms for Mining Association Rules in Large Databases - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fast Algorithms for Mining Association Rules in Large Databases write by Rakesh Agrawal. This book was released on 1994. Fast Algorithms for Mining Association Rules in Large Databases available in PDF, EPUB and Kindle.
Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices
Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices write by Hamido Fujita. This book was released on 2020-09-04. Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices available in PDF, EPUB and Kindle. This book constitutes the thoroughly refereed proceedings of the 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, held in Kitakyushu, Japan, in September 2020. The 62 full papers and 17 short papers presented were carefully reviewed and selected from 119 submissions. The IEA/AIE 2020 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include are language processing; robotics and drones; knowledge based systems; innovative applications of intelligent systems; industrial applications; networking applications; social network analysis; financial applications and blockchain; medical and health-related applications; anomaly detection and automated diagnosis; decision-support and agent-based systems; multimedia applications; machine learning; data management and data clustering; pattern mining; system control, classification, and fault diagnosis.
