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ICDM
2003
IEEE
240views Data Mining» more  ICDM 2003»
15 years 3 months ago
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...
Eamonn J. Keogh, Jessica Lin, Wagner Truppel
ICDM
2003
IEEE
238views Data Mining» more  ICDM 2003»
15 years 3 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, ...
GFKL
2007
Springer
137views Data Mining» more  GFKL 2007»
15 years 1 months ago
Families of Dendrograms
A conceptual framework for cluster analysis from the viewpoint of p-adic geometry is introduced by describing the space of all dendrograms for n datapoints and relating it to the m...
Patrick Erik Bradley
CSI
2004
353views more  CSI 2004»
14 years 9 months ago
Design and implementation of a mobile database for Java phones
Due to the popularity of electronic commerce and the maturity of wireless technology, mobile users can access the Internet anytime anywhere without having to physically hook up an...
Eric Jui-Lin Lu, Yung-Yuan Cheng
ICDM
2007
IEEE
97views Data Mining» more  ICDM 2007»
15 years 4 months ago
Supervised Learning by Training on Aggregate Outputs
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
David R. Musicant, Janara M. Christensen, Jamie F....