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DATAMINE
2006
176views more  DATAMINE 2006»
13 years 7 months ago
A Bit Level Representation for Time Series Data Mining with Shape Based Similarity
Clipping is the process of transforming a real valued series into a sequence of bits representing whether each data is above or below the average. In this paper, we argue that clip...
Anthony J. Bagnall, Chotirat (Ann) Ratanamahatana,...
DASFAA
2008
IEEE
190views Database» more  DASFAA 2008»
14 years 1 months ago
Analysis of Time Series Using Compact Model-Based Descriptions
Abstract. Recently, we have proposed a novel method for the compression of time series based on mathematical models that explore dependencies between different time series. This r...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
BTW
2009
Springer
122views Database» more  BTW 2009»
13 years 8 months ago
Model-based Classification of Data with Time Series-valued Attributes
: Similarity search and data mining on time series databases has recently attracted much attention. In this paper, we represent a data object by several time series-valued attribut...
Christian Böhm, L. Läer, Claudia Plant, ...
KDD
1998
ACM
141views Data Mining» more  KDD 1998»
13 years 11 months ago
Rule Discovery from Time Series
We consider the problem of nding rules relating patterns in a time series to other patterns in that series, or patterns in one series to patterns in another series. A simple examp...
Gautam Das, King-Ip Lin, Heikki Mannila, Gopal Ren...
AUSDM
2008
Springer
274views Data Mining» more  AUSDM 2008»
13 years 9 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 ...