๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Successes and New Directions in Data Mining (Premier Reference Source)

โœ Scribed by pascal Poncelet, Florent Masseglia, Maguelonne Teisseire


Publisher
Information Science Reference
Year
2007
Tongue
English
Leaves
386
Series
Premier Reference Source
Edition
1
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


The problem of mining patterns is becoming a very active research area and efficient techniques have been widely applied to problems in industry, government, and science. From the initial definition and motivated by real-applications, the problem of mining patterns not only addresses the finding of itemsets but also more and more complex patterns.

Successes and New Directions in Data Mining addresses existing solutions for data mining, with particular emphasis on potential real-world applications. Capturing defining research on topics such as fuzzy set theory, clustering algorithms, semi-supervised clustering, modeling and managing data mining patterns, and sequence motif mining, this book is an indispensable resource for library collections.


๐Ÿ“œ SIMILAR VOLUMES


Successes and New Directions in Data Min
โœ pascal Poncelet, Florent Masseglia, Maguelonne Teisseire ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐ŸŒ English

The problem of mining patterns is becoming a very active research area and efficient techniques have been widely applied to problems in industry, government, and science. From the initial definition and motivated by real-applications, the problem of mining patterns not only addresses the finding of

Data Mining Patterns: New Methods and Ap
โœ pascal Poncelet, pascal Poncelet, Florent Masseglia, Maguelonne Teisseire ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Idea Group Reference ๐ŸŒ English

Since the introduction of the Apriori algorithm a decade ago, the problem of mining patterns is becoming a very active research area, and efficient techniques have been widely applied to the problems either in industry or science. Currently, the data mining community is focusing on new problems such

Data Mining Patterns: New Methods and Ap
โœ pascal Poncelet, pascal Poncelet, Florent Masseglia, Maguelonne Teisseire ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Idea Group Reference ๐ŸŒ English

Since the introduction of the Apriori algorithm a decade ago, the problem of mining patterns is becoming a very active research area, and efficient techniques have been widely applied to the problems either in industry or science. Currently, the data mining community is focusing on new problems such

Intelligent Techniques for Warehousing a
โœ Alfredo Cuzzocrea ๐Ÿ“‚ Library ๐Ÿ“… 2009 ๐ŸŒ English

Intelligent Techniques for Warehousing and Mining Sensor Network Data presents fundamental and theoretical issues pertaining to data management. Covering a broad range of topics on warehousing and mining sensor networks, this advanced title provides significant industry solutions to those in databas

Intelligent Soft Computation and Evolvin
โœ Leon Shyue-Liang Wang ๐Ÿ“‚ Library ๐Ÿ“… 2010 ๐Ÿ› Information Science Reference ๐ŸŒ English

As the applications of data mining, the non-trivial extraction of implicit information in a data set, have expanded in recent years, so has the need for techniques that are tolerable to imprecision, uncertainty, and approximation. Intelligent Soft Computation and Evolving Data Mining: Integrating