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» Using Data Mining to Estimate Missing Sensor Data
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KDD
1997
ACM
213views Data Mining» more  KDD 1997»
15 years 10 months ago
A Probabilistic Approach to Fast Pattern Matching in Time Series Databases
Theproblemof efficiently and accurately locating patterns of interest in massivetimeseries data sets is an important and non-trivial problemin a wide variety of applications, incl...
Eamonn J. Keogh, Padhraic Smyth
KDD
1999
ACM
206views Data Mining» more  KDD 1999»
15 years 10 months ago
Compressed Data Cubes for OLAP Aggregate Query Approximation on Continuous Dimensions
Efficiently answering decision support queries is an important problem. Most of the work in this direction has been in the context of the data cube. Queries are efficiently answer...
Jayavel Shanmugasundaram, Usama M. Fayyad, Paul S....
PAKDD
2009
ACM
124views Data Mining» more  PAKDD 2009»
16 years 1 months ago
Dynamic Exponential Family Matrix Factorization
Abstract. We propose a new approach to modeling time-varying relational data such as e-mail transactions based on a dynamic extension of matrix factorization. To estimate effectiv...
Kohei Hayashi, Junichiro Hirayama, Shin Ishii
SEKE
2004
Springer
15 years 11 months ago
Automated Assistance for Eliciting User Expectations
People often use software for mundane tasks and expect it to be dependable enough for their needs. Unfortunately, the incomplete and imprecise specifications of such everyday sof...
Orna Raz, Rebecca B. Buchheit, Mary Shaw, Philip K...
ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
16 years 17 days ago
Representing Tuple and Attribute Uncertainty in Probabilistic Databases
There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data sources — sensor data, experimental data, data from ...
Prithviraj Sen, Amol Deshpande, Lise Getoor