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» Analyzing Harmonic Monitoring Data Using Data Mining
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67
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ADC
2006
Springer
120views Database» more  ADC 2006»
15 years 3 months ago
Approximate data mining in very large relational data
In this paper we discuss eNERF, an extended version of non-Euclidean relational fuzzy c-means (NERFCM) for approximate clustering in very large (unloadable) relational data. The e...
James C. Bezdek, Richard J. Hathaway, Christopher ...
88
Voted
KDD
1997
ACM
96views Data Mining» more  KDD 1997»
15 years 1 months ago
Using General Impressions to Analyze Discovered Classification Rules
One of the important problems in data mining is the evaluation of subjective interestingness of the discovered rules. Past research has found that in many real-life applications i...
Bing Liu, Wynne Hsu, Shu Chen
76
Voted
BPM
2009
Springer
169views Business» more  BPM 2009»
15 years 4 months ago
Analyzing Resource Behavior Using Process Mining
It is vital to use accurate models for the analysis, design, and/or control of business processes. Unfortunately, there are often important discrepancies between reality and models...
Joyce Nakatumba, Wil M. P. van der Aalst
DMIN
2006
124views Data Mining» more  DMIN 2006»
14 years 11 months ago
Use of Multivariate Data Analysis for Lumber Drying Process Monitoring and Fault Detection
Process monitoring refers to the task of detecting abnormal process operations resulting from the shift in the mean and/or the variance of one or more process variables. To success...
Mouloud Amazouz, Radu Pantea
ICDM
2003
IEEE
238views Data Mining» more  ICDM 2003»
15 years 2 months ago
Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques
We present Sentiment Analyzer (SA) that extracts sentiment (or opinion) about a subject from online text documents. Instead of classifying the sentiment of an entire document abou...
Jeonghee Yi, Tetsuya Nasukawa, Razvan C. Bunescu, ...