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KDD
2008
ACM
120views Data Mining» more  KDD 2008»
14 years 9 months ago
Entity categorization over large document collections
Extracting entities (such as people, movies) from documents and identifying the categories (such as painter, writer) they belong to enable structured querying and data analysis ov...
Arnd Christian König, Rares Vernica, Venkates...
KDD
2003
ACM
146views Data Mining» more  KDD 2003»
14 years 9 months ago
Probabilistic discovery of time series motifs
Several important time series data mining problems reduce to the core task of finding approximately repeated subsequences in a longer time series. In an earlier work, we formalize...
Bill Yuan-chi Chiu, Eamonn J. Keogh, Stefano Lonar...
SDM
2009
SIAM
184views Data Mining» more  SDM 2009»
14 years 5 months ago
DensEst: Density Estimation for Data Mining in High Dimensional Spaces.
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
Emmanuel Müller, Ira Assent, Ralph Krieger, S...
EUROSYS
2007
ACM
14 years 5 months ago
STMBench7: a benchmark for software transactional memory
Software transactional memory (STM) is a promising technique for controlling concurrency in modern multi-processor architectures. STM aims to be more scalable than explicit coarse...
Rachid Guerraoui, Michal Kapalka, Jan Vitek
CCGRID
2009
IEEE
14 years 3 months ago
Improving Parallel Write by Node-Level Request Scheduling
In a cluster of multiple processors or cpu-cores, many processes may run on each compute node. Each process tends to issue contiguous I/O requests for snapshot, checkpointing or s...
Kazuki Ohta, Hiroya Matsuba, Yutaka Ishikawa