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Analyzing Time Interval Data
Philipp Meisen
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Description for Analyzing Time Interval Data
Hardback. Num Pages: 263 pages, 57 black & white illustrations, 8 colour illustrations, 8 colour tables, biography. BIC Classification: UMB; UMZ; UT. Category: (P) Professional & Vocational. Dimension: 210 x 148. Weight in Grams: 473.
Philipp Meisen introduces a model, a query language, and a similarity measure enabling users to analyze time interval data. The introduced tools are combined to design and realize an information system. The presented system is capable of performing analytical tasks (avoiding any type of summarizability problems), providing insights, and visualizing results processing millions of intervals within milliseconds using an intuitive SQL-based query language. The heart of the solution is based on several bitmap-based indexes, which enable the system to handle huge amounts of time interval data.
Philipp Meisen introduces a model, a query language, and a similarity measure enabling users to analyze time interval data. The introduced tools are combined to design and realize an information system. The presented system is capable of performing analytical tasks (avoiding any type of summarizability problems), providing insights, and visualizing results processing millions of intervals within milliseconds using an intuitive SQL-based query language. The heart of the solution is based on several bitmap-based indexes, which enable the system to handle huge amounts of time interval data.
Product Details
Format
Hardback
Publication date
2016
Publisher
Springer Fachmedien Wiesbaden Germany
Number of pages
263
Condition
New
Number of Pages
232
Place of Publication
Weisbaden, Germany
ISBN
9783658157272
SKU
V9783658157272
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Philipp Meisen
Philipp Meisen holds a doctoral degree from RWTH Aachen, where he was a research group leader at the Chair of Information Management in Mechanical Engineering.
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