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KDD
2004
ACM
164views Data Mining» more  KDD 2004»
16 years 7 months ago
Ordering patterns by combining opinions from multiple sources
Pattern ordering is an important task in data mining because the number of patterns extracted by standard data mining algorithms often exceeds our capacity to manually analyze the...
Pang-Ning Tan, Rong Jin
150
Voted
SIGIR
1996
ACM
15 years 10 months ago
A Deductive Data Model for Query Expansion
We present a deductive data model for concept-based query expansion. It is based abstraction levels: the conceptual, the expression and the occurrence level. Concepts and their re...
Kalervo Järvelin, Jaana Kristensen, Timo Niem...
SIGMOD
2007
ACM
167views Database» more  SIGMOD 2007»
16 years 6 months ago
Data currency in replicated DHTs
Distributed Hash Tables (DHTs) provide a scalable solution for data sharing in P2P systems. To ensure high data availability, DHTs typically rely on data replication, yet without ...
Reza Akbarinia, Esther Pacitti, Patrick Valduriez
338
Voted
SIGMOD
2010
ACM
598views Database» more  SIGMOD 2010»
15 years 11 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...
INTELLCOMM
2004
Springer
16 years 12 hour ago
A Breadth-First Algorithm for Mining Frequent Patterns from Event Logs
Abstract. Today, event logs contain vast amounts of data that can easily overwhelm a human. Therefore, the mining of frequent patterns from event logs is an important system and ne...
Risto Vaarandi