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» Clustering Transactions Using Large Items
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EDBT
2008
ACM
159views Database» more  EDBT 2008»
16 years 2 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
123
Voted
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
15 years 8 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
15 years 8 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...
120
Voted
ICPADS
2006
IEEE
15 years 8 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»
15 years 8 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