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Home > Java Applications: Weka, Svnkit, Jhepwork, Fiji, Memoranda, Livegraph, Dirsync Pro, Moneydance, Rachota Timetracker, Data Mapping Engine(English)
Java Applications: Weka, Svnkit, Jhepwork, Fiji, Memoranda, Livegraph, Dirsync Pro, Moneydance, Rachota Timetracker, Data Mapping Engine(English)

Java Applications: Weka, Svnkit, Jhepwork, Fiji, Memoranda, Livegraph, Dirsync Pro, Moneydance, Rachota Timetracker, Data Mapping Engine(English)

          
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About the Book

Chapters: Weka, Svnkit, Jhepwork, Fiji, Memoranda, Livegraph, Dirsync Pro, Moneydance, Rachota Timetracker, Data Mapping Engine, 5620 Sam. Source: Wikipedia. Pages: 41. Not illustrated. Free updates online. Purchase includes a free trial membership in the publisher's book club where you can select from more than a million books without charge. Excerpt: Weka (machine learning) - The Weka workbench contains a collection of visualization tools and algorithms for data analysis and predictive modelling, together with graphical user interfaces for easy access to this functionality. The original non-Java version of Weka was a TCL/TK front-end to (mostly third-party) modelling algorithms implemented in other programming languages, plus data preprocessing utilities in C, and a Makefile-based system for running machine learning experiments. This original version was primarily designed as a tool for analyzing data from agricultural domains, but the more recent fully Java-based version (Weka 3), for which development started in 1997, is now used in many different application areas, in particular for educational purposes and research. The main strengths of Weka are that it: Weka supports several standard data mining tasks, more specifically, data preprocessing, clustering, classification, regression, visualization, and feature selection. All of Weka's techniques are predicated on the assumption that the data is available as a single flat file or relation, where each data point is described by a fixed number of attributes (normally, numeric or nominal attributes, but some other attribute types are also supported). Weka provides access to SQL databases using Java Database Connectivity and can process the result returned by a database query. It is not capable of multi-relational data mining, but there is separate software for converting a collection of linked database tables into a single table that is suitable for processing using Weka. ...More: http: //booksllc.net/?id=3829034


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Product Details
  • ISBN-13: 9781156999394
  • Publisher: Books LLC
  • Publisher Imprint: Books LLC
  • Height: 152 mm
  • No of Pages: 42
  • Series Title: English
  • Sub Title: Weka, Svnkit, Jhepwork, Fiji, Memoranda, Livegraph, Dirsync Pro, Moneydance, Rachota Timetracker, Data Mapping Engine
  • Width: 229 mm
  • ISBN-10: 1156999391
  • Publisher Date: 15 Sep 2010
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 3 mm
  • Weight: 73 gr


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