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Frequent Pattern Mining (Repost)

Posted By: AvaxGenius
Frequent Pattern Mining (Repost)

Frequent Pattern Mining by Charu C. Aggarwal, Jiawei Han
English | PDF (True) | 2014 | 480 Pages | ISBN : 3319078208 | 11.1 MB

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.

Preference-based Spatial Co-location Pattern Mining

Posted By: AvaxGenius
Preference-based Spatial Co-location Pattern Mining

Preference-based Spatial Co-location Pattern Mining by Lizhen Wang
English | PDF,EPUB | 2022 | 307 Pages | ISBN : 9811675651 | 52 MB

The development of information technology has made it possible to collect large amounts of spatial data on a daily basis. It is of enormous significance when it comes to discovering implicit, non-trivial and potentially valuable information from this spatial data. Spatial co-location patterns reveal the distribution rules of spatial features, which can be valuable for application users. This book provides commercial software developers with proven and effective algorithms for detecting and filtering these implicit patterns, and includes easily implemented pseudocode for all the algorithms. Furthermore, it offers a basis for further research in this promising field.

Periodic Pattern Mining: Theory, Algorithms, and Applications

Posted By: AvaxGenius
Periodic Pattern Mining: Theory, Algorithms, and Applications

Periodic Pattern Mining: Theory, Algorithms, and Applications by R. Uday Kiran
English | PDF,EPUB | 2021 | 263 Pages | ISBN : 9811639639 | 40.5 MB

This book provides an introduction to the field of periodic pattern mining, reviews state-of-the-art techniques, discusses recent advances, and reviews open-source software. Periodic pattern mining is a popular and emerging research area in the field of data mining. It involves discovering all regularly occurring patterns in temporal databases.

Pattern Mining with Evolutionary Algorithms (Repost)

Posted By: AvaxGenius
Pattern Mining with Evolutionary Algorithms (Repost)

Pattern Mining with Evolutionary Algorithms by Sebastián Ventura
English | PDF,EPUB | 2016 | 199 Pages | ISBN : 3319338579 | 10.6 MB

This book provides a comprehensive overview of the field of pattern mining with evolutionary algorithms. To do so, it covers formal definitions about patterns, patterns mining, type of patterns and the usefulness of patterns in the knowledge discovery process. As it is described within the book, the discovery process suffers from both high runtime and memory requirements, especially when high dimensional datasets are analyzed. To solve this issue, many pruning strategies have been developed.

Complex Pattern Mining: New Challenges, Methods and Applications (Repost)

Posted By: AvaxGenius
Complex Pattern Mining: New Challenges, Methods and Applications (Repost)

Complex Pattern Mining: New Challenges, Methods and Applications by Annalisa Appice
English | EPUB | 2020 | 251 Pages | ISBN : 3030366162 | 14.52 MB

This book discusses the challenges facing current research in knowledge discovery and data mining posed by the huge volumes of complex data now gathered in various real-world applications (e.g., business process monitoring, cybersecurity, medicine, language processing, and remote sensing). The book consists of 14 chapters covering the latest research by the authors and the research centers they represent. It illustrates techniques and algorithms that have recently been developed to preserve the richness of the data and allow us to efficiently and effectively identify the complex information it contains. Presenting the latest developments in complex pattern mining, this book is a valuable reference resource for data science researchers and professionals in academia and industry.