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» Diagnosing Similarity of Oscillation Trends in Time Series
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SDM
2009
SIAM
170views Data Mining» more  SDM 2009»
14 years 2 months ago
Optimal Distance Bounds on Time-Series Data.
Most data mining operations include an integral search component at their core. For example, the performance of similarity search or classification based on Nearest Neighbors is ...
Michail Vlachos, Philip S. Yu, Suleyman S. Kozat
ENGL
2007
204views more  ENGL 2007»
13 years 5 months ago
Long-Term Prediction, Chaos and Artificial Neural Networks. Where is the Meeting Point?
—This paper presents the advances of a research using a combination of recurrent and feed-forward neural networks for long term prediction of chaotic time series. It is known tha...
Pilar Gómez-Gil
AUSDM
2008
Springer
274views Data Mining» more  AUSDM 2008»
13 years 7 months ago
Identifying Stock Similarity Based on Multi-event Episodes
Predicting stock market movements is always difficult. Investors try to guess a stock's behavior, but it often backfires. Thumb rules and intuition seems to be the major indi...
Abhi Dattasharma, Praveen Kumar Tripathi, Sridhar ...
SIGMOD
2004
ACM
188views Database» more  SIGMOD 2004»
14 years 5 months ago
Online Event-driven Subsequence Matching over Financial Data Streams
Subsequence similarity matching in time series databases is an important research area for many applications. This paper presents a new approximate approach for automatic online s...
Huanmei Wu, Betty Salzberg, Donghui Zhang
DESRIST
2009
Springer
132views Education» more  DESRIST 2009»
13 years 10 months ago
Measuring information volatility in a health care information supply chain
We propose a measure of reliability called information volatility (IV) to complement Business Intelligence tools when considering aggregated data or when observing trends. Two typ...
Monica Chiarini Tremblay, Donald J. Berndt, Alan R...