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» Clustering Transactions Using Large Items
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EDBT
2008
ACM
159views Database» more  EDBT 2008»
14 years 10 months ago
P2P systems with transactional semantics
Structured P2P systems have been developed for constructing applications at internet scale in cooperative environments and exhibit a number of desirable features such as scalabili...
Shyam Antony, Divyakant Agrawal, Amr El Abbadi
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
14 years 3 months ago
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Thomas George, Srujana Merugu
PRDC
2006
IEEE
14 years 3 months ago
A Pragmatic Protocol for Database Replication in Interconnected Clusters
Multi-master update everywhere database replication, as achieved by protocols based on group communication such as DBSM and Postgres-R, addresses both performance and availability...
J. Grov, L. Soares, Alfrânio Correia Jr., Jo...
ICPADS
2006
IEEE
14 years 3 months ago
Parallel Leap: Large-Scale Maximal Pattern Mining in a Distributed Environment
When computationally feasible, mining extremely large databases produces tremendously large numbers of frequent patterns. In many cases, it is impractical to mine those datasets d...
Mohammad El-Hajj, Osmar R. Zaïane
ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
14 years 3 months ago
Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
Hyunjin Yoon, Cyrus Shahabi