Temporal Pattern Discovery

Temporal pattern discovery deals with the discovery of temporal patterns of interest in time series or temporal sequences, where the interest is determined by the domain and the application. Below are some examples of temporal patterns of interest:Customers who buy laptops on a computer company’s si...

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Bibliographic Details
Published inTemporal Data Mining pp. 175 - 222
Main Author Mitsa, Theophano
Format Book Chapter
LanguageEnglish
Published United Kingdom Chapman and Hall/CRC 2010
CRC Press LLC
Subjects
Algorithms & data structures
Mathematical & statistical software
Probability & statistics
Multivariate Time Series
Incremental Mining
Candidate Sequences
Spade
Database Scan
Anomaly Discovery
Apriori Algorithm
Sequence Mining
HMM
Pattern Discovery Algorithms
Streaming Time Series
Frequent Sequences
Meme
LCSS
Time Series
Temporal Patterns
Contiguous Subsequence
Frequent Patterns
Sequential Pattern Mining
Suffix Tree
Von Mises Fisher Distribution
Frequent Itemsets
Pattern Discovery
Transaction Id
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ISBN9781420089769
1420089765
DOI10.1201/9781420089776-7

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Summary:Temporal pattern discovery deals with the discovery of temporal patterns of interest in time series or temporal sequences, where the interest is determined by the domain and the application. Below are some examples of temporal patterns of interest:Customers who buy laptops on a computer company’s site in a trans-• action, frequently buy printers from the same site on a later transaction. This is an example of a frequent sequence.
ISBN:9781420089769
1420089765
DOI:10.1201/9781420089776-7