| 000 | 03111nam a22004455i 4500 | ||
|---|---|---|---|
| 001 | 978-1-84996-287-2 | ||
| 003 | DE-He213 | ||
| 005 | 20140220084516.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100805s2010 xxk| s |||| 0|eng d | ||
| 020 |
_a9781849962872 _9978-1-84996-287-2 |
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| 024 | 7 |
_a10.1007/978-1-84996-287-2 _2doi |
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| 050 | 4 | _aQA75.5-76.95 | |
| 072 | 7 |
_aUY _2bicssc |
|
| 072 | 7 |
_aCOM014000 _2bisacsh |
|
| 082 | 0 | 4 |
_a004 _223 |
| 100 | 1 |
_aChekanov, Sergei V. _eauthor. |
|
| 245 | 1 | 0 |
_aScientific Data Analysis using Jython Scripting and Java _h[electronic resource] / _cby Sergei V. Chekanov. |
| 264 | 1 |
_aLondon : _bSpringer London : _bImprint: Springer, _c2010. |
|
| 300 |
_aXXIV, 440 p. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aAdvanced Information and Knowledge Processing, _x1610-3947 |
|
| 505 | 0 | _aJython, Java and jHepWork -- to Jython -- Mathematical Functions -- One-dimensional Data -- Two-dimensional Data -- Multi-dimensional Data -- Arrays, Matrices and Linear Algebra -- Histograms -- Random Numbers and Statistical Samples -- Graphical Canvases -- Input and Output -- Miscellaneous Analysis Issues Using jHepWork -- Data Clustering -- Linear Regression and Curve Fitting -- Neural Networks -- Steps in Data Analysis -- Real-life Examples. | |
| 520 | _aScientific Data Analysis using Jython Scripting and Java presents practical approaches for data analysis using Java scripting based on Jython, a Java implementation of the Python language. The chapters essentially cover all aspects of data analysis, from arrays and histograms to clustering analysis, curve fitting, metadata and neural networks. A comprehensive coverage of data visualisation tools implemented in Java is also included. Written by the primary developer of the jHepWork data-analysis framework, the book provides a reliable and complete reference source laying the foundation for data-analysis applications using Java scripting. More than 250 code snippets (of around 10-20 lines each) written in Jython and Java, plus several real-life examples help the reader develop a genuine feeling for data analysis techniques and their programming implementation. This is the first data-analysis and data-mining book which is completely based on the Jython language, and opens doors to scripting using a fully multi-platform and multi-threaded approach. Graduate students and researchers will benefit from the information presented in this book. | ||
| 650 | 0 | _aComputer science. | |
| 650 | 0 | _aData mining. | |
| 650 | 1 | 4 | _aComputer Science. |
| 650 | 2 | 4 | _aComputer Science, general. |
| 650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9781849962865 |
| 830 | 0 |
_aAdvanced Information and Knowledge Processing, _x1610-3947 |
|
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-1-84996-287-2 |
| 912 | _aZDB-2-SCS | ||
| 999 |
_c111009 _d111009 |
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