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{ "item_title" : "Data Mining in Time Series Databases", "item_author" : [" Horst Bunke", "Abraham Kandel", "Mark Last "], "item_description" : "Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book include techniques for efficient segmentation, indexing, and classification of noisy and dynamic time series. A graph-based method for anomaly detection in time series is described and the book also studies the implications of a novel and potentially useful representation of time series as strings. The problem of detecting changes in data mining models that are induced from temporal databases is additionally discussed.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/81/238/290/9812382909_b.jpg", "price_data" : { "retail_price" : "129.00", "online_price" : "129.00", "our_price" : "129.00", "club_price" : "129.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Mining in Time Series Databases|Horst Bunke

Data Mining in Time Series Databases

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Overview

Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book include techniques for efficient segmentation, indexing, and classification of noisy and dynamic time series. A graph-based method for anomaly detection in time series is described and the book also studies the implications of a novel and potentially useful representation of time series as strings. The problem of detecting changes in data mining models that are induced from temporal databases is additionally discussed.

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Details

  • ISBN-13: 9789812382900
  • ISBN-10: 9812382909
  • Publisher: World Scientific Publishing Company
  • Publish Date: June 2004
  • Dimensions: 9 x 6.2 x 0.7 inches
  • Shipping Weight: 0.95 pounds
  • Page Count: 204

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