시계열 데이터 분석 주요 논문들

* An 0nline Algorithm for Segmenting Time Series  (Eamonn Keogh 교수)

* Experiencing SAX: a Novel Symbolic Representation of Time Series (Eamonn Keogh 교수)

* Real-Time Segmenting Time Series Data

* 시계열 데이터로부터의 경향성 기반 순차패턴 탐색 

* HMM 과 Viterbi training 을 알아보자

* http://stackoverflow.com/questions/11752727/pattern-recognition-in-time-series

* http://cs.gmu.edu/~jessica/publications/astronomy11.pdf

* Autoregressive HMM

* 빈발패턴마이닝 - AprioriAll

* Markov-switching autoregressive models for wind time series

* Finding Semantics in Time Series

* fast algorithms for mining co-evolving time series

* 빅데이터 분석 툴 Weka 3