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ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
14 years 1 months ago
Predicting Future Decision Trees from Evolving Data
Recognizing and analyzing change is an important human virtue because it enables us to anticipate future scenarios and thus allows us to act pro-actively. One approach to understa...
Mirko Böttcher, Martin Spott, Rudolf Kruse
KDD
2012
ACM
257views Data Mining» more  KDD 2012»
11 years 10 months ago
Aggregating web offers to determine product prices
Historical prices are important information that can help consumers decide whether the time is right to buy a product. They provide both a context to the users, and facilitate the...
Rakesh Agrawal, Samuel Ieong
KDD
2008
ACM
232views Data Mining» more  KDD 2008»
14 years 8 months ago
Anticipating annotations and emerging trends in biomedical literature
The BioJournalMonitor is a decision support system for the analysis of trends and topics in the biomedical literature. Its main goal is to identify potential diagnostic and therap...
Bernd Wachmann, Dmitriy Fradkin, Fabian Mörch...
JCDL
2009
ACM
127views Education» more  JCDL 2009»
14 years 2 months ago
Finding topic trends in digital libraries
We propose a generative model based on latent Dirichlet allocation for mining distinct topics in document collections by integrating the temporal ordering of documents into the ge...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...
DEBU
2010
135views more  DEBU 2010»
13 years 4 months ago
Trends in Storage Technologies
The high random and sequential I/O requirements of contemplated workloads could serve as impetus to move faster towards storage-class memory (SCM), a technology that will blur the...
Evangelos Eleftheriou, Robert Haas, Jens Jelitto, ...