Data Mining, Rough Sets and Granular Computing (e-bok)
Fler böcker inom
Format
E-bok
Filformat
PDF med Adobe-kryptering
Om Adobe-kryptering
PDF-böcker lämpar sig inte för läsning på små skärmar, t ex mobiler.
Nedladdning
Kan laddas ned under 24 månader, dock max 3 gånger.
Språk
Engelska
Utgivningsdatum
2013-11-11
Förlag
Physica-Verlag HD
ISBN
9783790817911
Data Mining, Rough Sets and Granular Computing (e-bok)

Data Mining, Rough Sets and Granular Computing (e-bok)

E-bok (PDF - DRM), Engelska, 2013-11-11
2149
Laddas ned direkt
Läs i vår app för iPhone, iPad och Android
Finns även som
Visa alla 2 format & utgåvor
During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par- ticularly true in the realm of e-commerce, where data mining is moving from a "e;nice-to-have"e; to a "e;must-have"e; status. In a different though related context, a new computing methodology called granular computing is emerging as a powerful tool for the conception, analysis and design of information/intelligent systems. In essence, data mining deals with summarization of information which is resident in large data sets, while granular computing plays a key role in the summarization process by draw- ing together points (objects) which are related through similarity, proximity or functionality. In this perspective, granular computing has a position of centrality in data mining. Another methodology which has high relevance to data mining and plays a central role in this volume is that of rough set theory. Basically, rough set theory may be viewed as a branch of granular computing. However, its applications to data mining have predated that of granular computing.
Visa hela texten

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av författarna