1. Definitions
    1. Keogh
  2. Preprocessing transformations
    1. Offset Translation
    2. Amplitude Scaling
    3. Removing Linear Trend
    4. Removing noise/artifacts
  3. Time-series representation
    1. Discrete Fourier Transformation (DFT)
      1. Faloutsos, C., Ranganathan, M., Manolopoulos, Y.: Fast Subsequence Matching in Time-Series Databases. In: SIGMOD Conference, pp. 419–429 (1994)
    2. Singular Value Decomposition (SVD)
      1. Faloutsos, C., Ranganathan, M., Manolopoulos, Y.: Fast Subsequence Matching in Time-Series Databases. In: SIGMOD Conference, pp. 419–429 (1994)
    3. Discrete Wavelet Transformation (DWT)
      1. pong Chan, K., Fu, A.W.-C.: Efficient Time Series Matching by Wavelets. In: ICDE, pp.126–133 (1999)
    4. Piecewise Aggregate Approximatino (PAA)
      1. Keogh, E.J., Chakrabarti, K., Pazzani, M.J., Mehrotra, S.: Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases. Knowl. Inf. Syst. 3(3), 263–286 (2001)
    5. Adaptive Piecewise Constant Approx. (APCA)
      1. Keogh, E.J., Chakrabarti, K., Mehrotra, S., Pazzani, M.J.: Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases. In: SIGMOD Conference, pp.151–162 (2001)
    6. Symbolic Aggregate approX. (SAX)
      1. Lin, J., Keogh, E.J., Wei, L., Lonardi, S.: Experiencing SAX: a novel symbolic representation of time series. Data Min. Knowl. Discov. 15(2), 107–144 (2007)
    7. Indexable Piecewise Linear Approx. (IPLA)
      1. Chen, Q., Chen, L., Lian, X., Liu, Y., Yu, J.X.: Indexable PLA for Efficient Similarity Search. In: VLDB, pp. 435–446 (2007)
    8. Spline Representation
      1. Kurbalija, V., Ivanović, M., Budimac, Z.: Case-Based Curve Behaviour Prediction. Software: Practice and Experience 39(1), 81–103 (2009)
  4. Similarity/distance measure
    1. Euclidean Distance
    2. Dynamic Time Warping (DTW)
      1. Keogh, E.J., Ratanamahatana, C.A.: Exact indexing of dynamic time warping. Knowl. Inf. Syst. 7(3), 358–386 (2005)
    3. Longest Common Subsequence (LCS)
    4. Edit Distance with Real peanlty (ERP)
    5. Edit Distance on Real Sequence (EDR)
    6. Sequence Weighted Alignment model (Swale)
  5. Tools
    1. A Framework for Time-Series Analysis
      1. Vladimir Kurbalija, Miloš Radovanović, Zoltan Geler, and Mirjana Ivanović
      2. Department of Mathematics and Informatics, Faculty of Science, University of Novi Sad
      3. paper: A Framework for Time-Series Analysis. Artificial Intelligence: Methodology, Systems, and Applications Book Series Title: Lectore Notes in Computer Science, Springer Berlin / Heidelberg
    2. TimeSearcher
    3. Calendar-based Visualisation
    4. Spiral
    5. VizTree