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» Systems Support for Scalable Data Mining
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SIGMOD
2010
ACM
598views Database» more  SIGMOD 2010»
15 years 2 months ago
Ricardo: integrating R and Hadoop
Many modern enterprises are collecting data at the most detailed level possible, creating data repositories ranging from terabytes to petabytes in size. The ability to apply sophi...
Sudipto Das, Yannis Sismanis, Kevin S. Beyer, Rain...
KDD
2002
ACM
196views Data Mining» more  KDD 2002»
15 years 10 months ago
Comparing Two Recommender Algorithms with the Help of Recommendations by Peers
Abstract. Since more and more Web sites, especially sites of retailers, offer automatic recommendation services using Web usage mining, evaluation of recommender algorithms has bec...
Andreas Geyer-Schulz, Michael Hahsler
RECSYS
2010
ACM
14 years 10 months ago
Collaborative filtering via euclidean embedding
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...
Mohammad Khoshneshin, W. Nick Street
SSDBM
2009
IEEE
77views Database» more  SSDBM 2009»
15 years 4 months ago
Query Recommendations for Interactive Database Exploration
Abstract. Relational database systems are becoming increasingly popular in the scientific community to support the interactive exploration of large volumes of data. In this scenar...
Gloria Chatzopoulou, Magdalini Eirinaki, Neoklis P...
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
15 years 10 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...