Numeric Computation and Statistical Data Analysis on the Java Platform by Sergei V Chekanov
Numerical computation, knowledge discovery and statistical data analysis integrated with powerful 2D and 3D graphics are the key topics of this book. The short Python code examples powered by the Java platform can be transformed to other programming languages, such as Java, Groovy, Ruby and BeanShell.-
Game Theoretic Problems in Network Economics and Mechanism Design Solutions
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Ontological Engineering
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Mining Software Engineering Data for Software Reuse
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R-Trees: Theory and Applications
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Intelligence Management
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Secure Information Management Using Linguistic Threshold Approach
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Hierarchical Feature Selection for Knowledge Discovery
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Developing Multi-Database Mining Applications
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Seriation in Combinatorial and Statistical Data Analysis
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Uncertainty Handling and Quality Assessment in Data Mining
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Knowledge Discovery in Multiple Databases
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Meta-Programming and Model-Driven Meta-Program Development
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Smart Systems for E-Health
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Trends in Interactive Visualization
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Business Intelligence and Performance Management
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Privacy and Anonymity in Information Management Systems
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Scientific Data Analysis using Jython Scripting and Java
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Adaptive Resonance Theory in Social Media Data Clustering
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Agent-Based Service-Oriented Computing
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Knowledge Processing with Interval and Soft Computing
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Learning Representation for Multi-View Data Analysis
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Data Mining with Computational Intelligence
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Creating Web-based Laboratories
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Data Complexity in Pattern Recognition
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Representation and Management of Narrative Information
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Emergent Web Intelligence: Advanced Information Retrieval
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Machine Learning and Data Mining for Computer Security
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Data Mining for Social Robotics
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Convergence and Knowledge Processing in Multi-Agent Systems
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Artificial Intelligence and Economic Theory: Skynet in the Market
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Advanced Methods for Knowledge Discovery from Complex Data
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Understanding Information
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Robust Representation for Data Analytics
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Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering
S.V.Chekanov was born in Minsk (USSR) and received his Ph.D. in experimental physics (University of Nijmegen, The Netherlands). He has more than twenty years of experience in high-energy fields including advanced programming and analysis of large data volumes collected by high-energy experiments operated by major international collaborations. He has written over a hundred physics articles, many of them are based on analysis of experimental data from large-scale international experiments, LEP (CERN, European Organization for Nuclear Research), HERA (DESY, German Electron Synchrotron) and LHC, the Large Hadron Collider experiment at CERN. Over the past decade he has divided his time between physics analysis, developing analysis tools and providing software support for the Midwest data analysis center (USA) of the LHC experiment. In 2005 he began the creation of the jHepWork data analysis framework which is now the world's leading open-source Java software for scientists. Presently, he works at the Argonne National Laboratory (Chicago, USA).
| SKU | Unavailable |
| ISBN 13 | 9783319285290 |
| ISBN 10 | 3319285297 |
| Title | Numeric Computation and Statistical Data Analysis on the Java Platform |
| Author | Sergei V Chekanov |
| Series | Advanced Information And Knowledge Processing |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer International Publishing AG |
| Year published | 2016-04-05 |
| Number of pages | 620 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |