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» Classes and clusters in data analysis
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STOC
2004
ACM
145views Algorithms» more  STOC 2004»
16 years 6 months ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler
KES
2007
Springer
16 years 22 days ago
Models for Identifying Structures in the Data: A Performance Comparison
This paper reports on the unsupervised analysis of seismic signals recorded in Italy, respectively on the Vesuvius volcano, located in Naples, and on the Stromboli volcano, located...
Anna Esposito, Antonietta M. Esposito, Flora Giudi...
IISWC
2006
IEEE
16 years 19 days ago
MineBench: A Benchmark Suite for Data Mining Workloads
Abstract— Data mining constitutes an important class of scientific and commercial applications. Recent advances in data extraction techniques have created vast data sets, which ...
Ramanathan Narayanan, Berkin Özisikyilmaz, Jo...
ADAPTIVE
2007
Springer
16 years 24 days ago
Data Mining for Web Personalization
Abstract. In this chapter we present an overview of Web personalization process viewed as an application of data mining requiring support for all the phases of a typical data minin...
Bamshad Mobasher
ICB
2009
Springer
140views Biometrics» more  ICB 2009»
16 years 1 months ago
A Discriminant Analysis Method for Face Recognition in Heteroscedastic Distributions
Linear discriminant analysis (LDA) is a popular method in pattern recognition and is equivalent to Bayesian method when the sample distributions of different classes are obey to t...
Zhen Lei, ShengCai Liao, Dong Yi, Rui Qin, Stan Z....