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» Modeling Relational Data as Graphs for Mining
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ACMICEC
2007
ACM
144views ECommerce» more  ACMICEC 2007»
15 years 8 months ago
Needs-based analysis of online customer reviews
Needs-based analysis lies at the intersection of product marketing and new product development. It is the study of why consumers purchase and what they do with those purchases. In...
Thomas Y. Lee
151
Voted
ISPASS
2009
IEEE
15 years 11 months ago
Lonestar: A suite of parallel irregular programs
Until recently, parallel programming has largely focused on the exploitation of data-parallelism in dense matrix programs. However, many important application domains, including m...
Milind Kulkarni, Martin Burtscher, Calin Cascaval,...
ER
1999
Springer
108views Database» more  ER 1999»
15 years 9 months ago
Modeling Cyclic Change
Database support of time-varying phenomena typically assumes that entities change in a linear fashion. Many phenomena, however, change cyclically over time. Examples include monsoo...
Kathleen Hornsby, Max J. Egenhofer, Patrick J. Hay...
SDM
2009
SIAM
291views Data Mining» more  SDM 2009»
16 years 1 months ago
Detection and Characterization of Anomalies in Multivariate Time Series.
Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...
ICDM
2008
IEEE
136views Data Mining» more  ICDM 2008»
15 years 11 months ago
Document-Word Co-regularization for Semi-supervised Sentiment Analysis
The goal of sentiment prediction is to automatically identify whether a given piece of text expresses positive or negative opinion towards a topic of interest. One can pose sentim...
Vikas Sindhwani, Prem Melville