Data Mining Algorithms In R
Publisher: Wikibooks 2010
Description:
In general terms, Data Mining comprises techniques and algorithms, for determining interesting patterns from large datasets. There are currently hundreds (or even more) algorithms that perform tasks such as frequent pattern mining, clustering, and classification, among others.
Download or read it online for free here:
Read online
(online html)
Similar books
Natural Language Interfaces to Databases: An Introductionby I. Androutsopoulos, G. D. Ritchie, P. Thanisch - arXiv
This paper is an introduction to natural language interfaces to databases (NLIDBs). Some advantages and disadvantages of NLIDBs are then discussed, comparing NLIDBs to formal query languages, form-based interfaces, and graphical interfaces.
(16481 views)
Elasticsearch: The Definitive Guideby Clinton Gormley, Zachary Tong - O'Reilly
Whether you need full-text search or real-time analytics of data, this book introduces you to the fundamental concepts required to start working with Elasticsearch. With these foundations laid, it will move on to more-advanced search techniques.
(8934 views)
Multi-Relational Data Miningby Arno Jan Knobbe - IOS Press
This thesis is concerned with Data Mining: extracting useful insights from large collections of data. With the increased possibilities in modern society for companies and institutions to gather data, this subject has become of increasing importance.
(16357 views)
Foundations of Databasesby Serge Abiteboul, Richard Hull, Victor Vianu - Addison Wesley
This book provides in-depth coverage of the theory concerning the logical level of database management systems, including both classical and advanced topics. It includes detailed proofs and numerous examples and exercises.
(19023 views)