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175
Voted
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 7 months ago
Time series shapelets: a new primitive for data mining
Classification of time series has been attracting great interest over the past decade. Recent empirical evidence has strongly suggested that the simple nearest neighbor algorithm ...
Lexiang Ye, Eamonn J. Keogh
186
Voted
KDD
2009
ACM
141views Data Mining» more  KDD 2009»
16 years 7 months ago
Meme-tracking and the dynamics of the news cycle
Tracking new topics, ideas, and "memes" across the Web has been an issue of considerable interest. Recent work has developed methods for tracking topic shifts over long ...
Jure Leskovec, Lars Backstrom, Jon M. Kleinberg
KDD
2006
ACM
128views Data Mining» more  KDD 2006»
16 years 7 months ago
Workload-aware anonymization
Protecting data privacy is an important problem in microdata distribution. Anonymization algorithms typically aim to protect individual privacy, with minimal impact on the quality...
Kristen LeFevre, David J. DeWitt, Raghu Ramakrishn...
KDD
2004
ACM
113views Data Mining» more  KDD 2004»
16 years 7 months ago
Learning spatially variant dissimilarity (SVaD) measures
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
VLSID
2007
IEEE
97views VLSI» more  VLSID 2007»
16 years 7 months ago
Efficient Microprocessor Verification using Antecedent Conditioned Slicing
We present a technique for automatic verification of pipelined microprocessors using model checking. Antecedent conditioned slicing is an efficient abstraction technique for hardw...
Shobha Vasudevan, Vinod Viswanath, Jacob A. Abraha...