Intelligent Data Analysis: From Data Gathering to Data Comprehension by Deepak Gupta , Siddhartha Bhattacharyya
English | Jun 29, 2020 | ISBN: 1119544459 | 432 pages | PDF | 15,4 MB
English | Jun 29, 2020 | ISBN: 1119544459 | 432 pages | PDF | 15,4 MB
This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems with data analysis tools.
From the Inside Flap
A practical guide to using Intelligent Data Analysis to help solve common life problems presented by data analysis tools
In Intelligent Data Analysis, the authors have collected insightful knowledge on the complex topics of data abstraction, machine learning, pattern recognition, and specialized statistical analysis. In-depth information has been crafted to be understood by students and professionals alike, providing an overall look at the tools needed to solve problems resulting from automated data collection.
Intelligent Data Analysis discusses common issues found in computer-based patient record-keeping, data warehousing tools, and intelligent alarm systems and presents methods of effective and efficient monitoring. The book provides readers with practical problem-solving insights to address typical issues faced in the engineering and medical fields specifically.
The text covers a variety of topics within Intelligent Data Analysis (IDA), including:
Linear Regression and Decision Trees
Interpretation of Black Box Models including Individual Conditional Expectations and Local Interpretable Model-agnostic Explanations
An examination of IDA
Applications of IDA and Machine Learning
Model Interpretability
This exhaustive guide provides in-depth information on how IDA can be improved and implemented in engineering and biomedical applications for students, researchers, and professionals developing systems that include IDA technology.
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