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» Using Data Mining to Estimate Missing Sensor Data
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116
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ICDM
2010
IEEE
134views Data Mining» more  ICDM 2010»
15 years 18 days ago
Consequences of Variability in Classifier Performance Estimates
The prevailing approach to evaluating classifiers in the machine learning community involves comparing the performance of several algorithms over a series of usually unrelated data...
Troy Raeder, T. Ryan Hoens, Nitesh V. Chawla
ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
15 years 18 days ago
Discovering Temporal Features and Relations of Activity Patterns
An important problem that arises during the data mining process in many new emerging application domains is mining data with temporal dependencies. One such application domain is a...
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook
110
Voted
PERVASIVE
2004
Springer
15 years 8 months ago
Context Cube: Flexible and Effective Manipulation of Sensed Context Data
In an effort to support the development of context-aware applications that use archived sensor data, we introduce the concept of the Context Cube based on techniques of data wareho...
Lonnie D. Harvel, Ling Liu, Gregory D. Abowd, Yu-X...
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
15 years 7 months ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
160
Voted
CORR
2008
Springer
192views Education» more  CORR 2008»
15 years 1 months ago
Anomaly Detection in Streaming Sensor Data
In this chapter we consider a cell phone network as a set of automatically deployed sensors that records movement and interaction patterns of the population. We discuss methods fo...
Alec Pawling, Ping Yan, Julián Candia, Timo...