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» Introduction to Data Mining and Knowledge Discovery
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SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
14 years 11 months ago
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Alireza Vahdatpour, Majid Sarrafzadeh
KDD
1998
ACM
118views Data Mining» more  KDD 1998»
15 years 2 months ago
A Belief-Driven Method for Discovering Unexpected Patterns
Several pattern discovery methods proposed in the data mining literature have the drawbacks that they discover too many obvious or irrelevant patterns and that they do not leverag...
Balaji Padmanabhan, Alexander Tuzhilin
DIS
1999
Springer
15 years 2 months ago
Scheduled Discovery of Exception Rules
This paper shows preliminary results, on financial data, of an algorithm for discovering pairs of an exception rule and a common sense rule under a prespecified schedule. An exce...
Einoshin Suzuki
AMINING
2003
Springer
245views Data Mining» more  AMINING 2003»
15 years 3 months ago
Spiral Mining Using Attributes from 3D Molecular Structures
Active responses from experts play an essential role in the knowledge discovery of SAR (structure activity relationships) from drug data. Experts often think of hypotheses, and the...
Takashi Okada, Masumi Yamakawa, Hirotaka Niitsuma
DGO
2007
192views Education» more  DGO 2007»
14 years 11 months ago
D-HOTM: distributed higher order text mining
We present D-HOTM, a framework for Distributed Higher Order Text Mining based on named entities extracted from textual data that are stored in distributed relational databases. Unl...
William M. Pottenger