Intelligent data analysis in science

Intelligent data analysis in science Download PDF EPUB FB2

Intelligent data analysis, data mining and knowledge discovery in databases have recently gained the attention of a large number of researchers and practitioners.

This is witnessed by the rapidly increasing number of submissions and participants at related conferences and workshops, by the emergence of new journals in this area (e.g., Data. Intelligent Data Analysis in Science (Oxford Chemistry Masters) by Hugh Cartwright (Editor) ISBN ISBN Why is ISBN important.

ISBN. This bar-code number lets you verify that you're getting exactly the right version or edition of a book. The digit and digit formats both work. The book concludes with a higher-level overview of the IDA processes, illustrating the breadth of application of the presented ideas.

This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data.

It provides computational methods and tools for intelligent data analysis, with. Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems addresses information security within e-Learning based on trustworthiness assessment and prediction.

Over the past decade, many learning management systems have appeared in. Intelligent Data Analysis provides a forum for the examination of issues related to the research and applications of Artificial Intelligence techniques in data analysis across a variety of disciplines.

These techniques include (but are not limited to): all areas of data visualization, data pre-processing (fusion, editing, transformation, filtering, sampling), data engineering, database mining.

Journals & Books; Help; Intelligent Data Analysis. Transferred to IOS Press as of ; Intelligent Data Analysis. Explore journal content Latest issue All issues. Latest issues. Volume 3, Issue 6. – (December ) Volume 3, Issue 5.

– (November ) Volume 3, Issue 4. Overall, the authors hit their target producing a textbook that aids in understanding the basic processes, methods, and issues for intelligent data analysis.” (Corrado Mencar, ACM Computing Reviews, April, ) “The book provides a thorough introduction to data mining that covers theoretical background as well as the use of tools (KNIME.

Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques.

The book examines the major characteristics of connected. In Data Analytics, you're going to uncover tons of eye-opening insights, such as: The basic seven-step process of data analysis to be aware of if you want to become a competent data scientist; Basic and advanced data analytics tools you can use for efficient business intelligence.

The book concludes with a higher-level overview of the IDA processes, illustrating the breadth of application of the presented ideas. The second edition features an extensive index, which makes this volume also useful as a quick reference on the key techniques in intelligent data analysis/5(2).

Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery tackles those data sets and covers a variety of issues in relation to intelligent data analysis so that patterns from frequent or rare events in spatial or temporal spaces can be revealed.

This book brings together current research, results, problems. Combining new data analysis technologies, applications, emerging trends, and case studies, this publication reviews the intelligent, technological, and organizational aspects of the field.

This book is ideally designed for IT professionals and students, data analysis specialists, healthcare providers, and policy makers. Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research.

The book provides the latest research findings on the use of big data analytics with. Intelligent Multidimensional Data Clustering and Analysis is an authoritative reference source for the latest scholarly research on the advantages and challenges presented by the use of cluster analysis techniques.

Highlighting theoretical foundations, computing paradigms, and real-world applications, this book is ideally designed for.

Pulled from the web, here is a our collection of the best, free books on Data Science, Big Data, Data Mining, Machine Learning, Python, R, SQL, NoSQL and more. K SHARES If you’re looking for even more learning materials, be sure to also check out an online data science course through our comprehensive courses list.

Intelligent Data Analysis (IDA) is an interdisciplinary study concerned with the effective analysis of data. IDA draws the techniques from diverse fields, including artificial intelligence, databases, high-performance computing, pattern recognition, and statistics.

These fields often complement each Author: Xiaohui Liu. Intelligent data analysis, data mining and knowledge discovery in databases have recently gained the attention of a large number of researchers and practitioners. This is witnessed by the rapidly increasing number of submissions and participants at related conferences and workshops, by the.

ISBN: OCLC Number: Description: xiv, pages: illustrations ; 26 cm. Contents: Introduction to intelligent data analysis / D. Brynn Hibbert --Knowledge transfer / Sharbari Lahiri and Martin J.

Stillman --Genetic algorithms, linkage learning, and scalable data mining / Hillol Kargupta [and others] --Theory and application of fuzzy methodology / Paul P. This book constitutes the refereed conference proceedings of the 13th International Conference on Intelligent Data Analysis, which was held in October/November in Leuven, Belgium.

The 33 revised full papers together with 3 invited papers were carefully reviewed and selected from 70 submissions handling all kinds of modeling and analysis. You’ll find this book at the top of most data science book lists. The book comes with plenty of resources.

Use the above link to go to the book home page and you’ll see resources like data files, codes, solutions, etc. It will be especially useful for folks who know the basics of Python.

The language is used to demonstrate real world examples.This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world s: 1.Guide to Intelligent Data Analysis provides a hands-on for graduate and advanced undergraduate students is also essential reading for all professionals who face data analysis problems.

Moreover, it is a book to be used following one's exploration of it. Frank Klawonn is a Professor in the Department of Computer Science and Head of the.