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KDD
1997
ACM
101views Data Mining» more  KDD 1997»
14 years 23 days ago
Discriminative vs Informative Learning
Y. Dan Rubinstein, Trevor Hastie
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
14 years 23 days ago
Beyond Concise and Colorful: Learning Intelligible Rules
A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful ...
Michael J. Pazzani, Subramani Mani, William Rodman...
KDD
1997
ACM
243views Data Mining» more  KDD 1997»
14 years 23 days ago
Development of Multi-Criteria Metrics for Evaluation of Data Mining Algorithms
Gholamreza Nakhaeizadeh, Alexander Schnabl
KDD
1997
ACM
115views Data Mining» more  KDD 1997»
14 years 23 days ago
Fast Robust Visual Data Mining
Ted Mihalisin, John Timlin
KDD
1997
ACM
96views Data Mining» more  KDD 1997»
14 years 23 days 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
KDD
1997
ACM
120views Data Mining» more  KDD 1997»
14 years 23 days ago
Discovering Trends in Text Databases
We describe a system we developed for identifying trends in text documents collected over a period of time. Trends can be used, for example, to discover that a company is shifting...
Brian Lent, Rakesh Agrawal, Ramakrishnan Srikant
KDD
1997
ACM
107views Data Mining» more  KDD 1997»
14 years 23 days ago
Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail
Stefan Kramer, Bernhard Pfahringer, Christoph Helm...
KDD
1997
ACM
91views Data Mining» more  KDD 1997»
14 years 23 days ago
A Unified Notion of Outliers: Properties and Computation
Edwin M. Knorr, Raymond T. Ng
KDD
1997
ACM
106views Data Mining» more  KDD 1997»
14 years 23 days ago
Clustering Sequences of Complex Objects
Sequential Data This paper is about the unsuperviseddiscovery of patterns in sequencesof compositeobjects. A compositeobject may be describedas a sequenceof other, simpler data. In...
A. Ketterlin
KDD
1997
ACM
213views Data Mining» more  KDD 1997»
14 years 23 days 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