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	Browse All Reviews > Mathematics Of Computing (G) > Probability And Statistics (G.3) > Time Series Analysis (G.3...)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-10 of 22 Reviews about "Time Series Analysis (G.3...)": Date Reviewed   Efficient discovery of longest-lasting correlation in sequence databases Li Y., U L., Yiu M., Gong Z. The VLDB Journal: The International Journal on Very Large Data Bases 25(6): 767-790, 2016.  Type: Article Large quantities of data are stored every day in databases, but sooner or later these data must be extracted according to different criteria: these extractions constitute data sequences. One of the most important problems when extracti... Mar 22 2017   Co-clustering structural temporal data with applications to semiconductor manufacturing Zhu Y., He J. ACM Transactions on Knowledge Discovery from Data 10(4): 1-18, 2016.  Type: Article New improvements in storage, measurement, and control methods in semiconductor engineering are rapidly producing more data. Today, there are valuable tools for monitoring and gathering time-based data for manufacturing devices such as ... Nov 15 2016   The BOSS is concerned with time series classification in the presence of noise Schäfer P. Data Mining and Knowledge Discovery 29(6): 1505-1530, 2015.  Type: Article “The raw time series data may be ... noisy, or are composed of [higher-level] substructures,” or high dimensionality. Its classification complexity increases due to “extraneous, erroneous, and unaligned da... Mar 30 2016   A general framework for never-ending learning from time series streams Chen Y., Hao Y., Rakthanmanon T., Zakaria J., Hu B., Keogh E. Data Mining and Knowledge Discovery 29(6): 1622-1664, 2015.  Type: Article Time-series classification, with its vast applications in many fields, such as weather prediction, medicine, zoology, and human behavior analysis, is an active area of research. The problems in this field typically involve training a c... Mar 7 2016   A time series retrieval tool for sub-series matching Bottrighi A., Leonardi G., Montani S., Portinale L., Terenziani P. Applied Intelligence 43(1): 132-149, 2015.  Type: Article In many practical applications, it is important to check whether certain patterns occurred in the past. For example, when performing a medical procedure such as dialysis, it is important to check whether the patient experienced a fast ... Oct 7 2015   Novel method of identifying time series based on network graphs Li Y., Caö H., Tan Y. Complexity 17(1): 13-34, 2011.  Type: Article This paper is about a novel method for transforming a time series into a complex network graph. The paper is very well organized and begins with two sections, an introduction and related references. An overview of previous work is prov... Apr 19 2012   Time series: modeling, computation, and inference Prado R., West M., Chapman & Hall/CRC, Boca Raton, FL, 2010. 368 pp.  Type: Book (978-1-420093-36-0), Reviews: (2 of 2) Patterns hidden in a time series can reveal causal interactions, diagnose existing faults, and warn of impending failure. Discovering these patterns requires manipulating large amounts of data, which makes time series analysis one of t... Mar 28 2012   Time series: modeling, computation, and inference Prado R., West M., Chapman & Hall/CRC, Boca Raton, FL, 2010. 368 pp.  Type: Book (978-1-420093-36-0), Reviews: (1 of 2) Mike West, a towering figure in the field of statistics, coauthored this book. The targeted readers are graduate students in science and engineering and researchers working on time series modeling. The contents presented in the book co... Mar 21 2012   Bayesian time series models Barber D., Cemgil A., Chiappa S., Cambridge University Press, New York, NY, 2011. 432 pp.  Type: Book (978-0-521196-76-5) Time series data appear in many areas, such as economics, audio analysis, video streaming, and biomedicine. Probabilistic models are popular tools to describe the characteristics of time series because they can capture noise effects an... Feb 6 2012   Algorithm 900: a discrete time Kalman filter package for large scale problems Torres G. ACM Transactions on Mathematical Software 37(1): 1-16, 2010.  Type: Article This paper is a valiant original effort to address the design of state-of-the-art sequential data assimilation codes for large-scale problems. Its main objective is to present a package of various versions of the Kalman filter implemen... Mar 31 2010       Display 510152550100 per page
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