Data Preprocessing In Data Mining
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Data Preprocessing In Data Mining
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Author : Salvador García
language : en
Publisher: Springer
Release Date : 2014-08-30
Data Preprocessing In Data Mining written by Salvador García and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-30 with Technology & Engineering categories.
Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Furthermore, the increasing amount of data in recent science, industry and business applications, calls to the requirement of more complex tools to analyze it. Thanks to data preprocessing, it is possible to convert the impossible into possible, adapting the data to fulfill the input demands of each data mining algorithm. Data preprocessing includes the data reduction techniques, which aim at reducing the complexity of the data, detecting or removing irrelevant and noisy elements from the data. This book is intended to review the tasks that fill the gap between the data acquisition from the source and the data mining process. A comprehensive look from a practical point of view, including basic concepts and surveying the techniques proposed in the specialized literature, is given.Each chapter is a stand-alone guide to a particular data preprocessing topic, from basic concepts and detailed descriptions of classical algorithms, to an incursion of an exhaustive catalog of recent developments. The in-depth technical descriptions make this book suitable for technical professionals, researchers, senior undergraduate and graduate students in data science, computer science and engineering.
Intelligent Data Mining And Analysis In Power And Energy Systems
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Author : Zita A. Vale
language : en
Publisher: John Wiley & Sons
Release Date : 2022-12-02
Intelligent Data Mining And Analysis In Power And Energy Systems written by Zita A. Vale and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-02 with Technology & Engineering categories.
Intelligent Data Mining and Analysis in Power and Energy Systems A hands-on and current review of data mining and analysis and their applications to power and energy systems In Intelligent Data Mining and Analysis in Power and Energy Systems: Models and Applications for Smarter Efficient Power Systems, the editors assemble a team of distinguished engineers to deliver a practical and incisive review of cutting-edge information on data mining and intelligent data analysis models as they relate to power and energy systems. You’ll find accessible descriptions of state-of-the-art advances in intelligent data mining and analysis and see how they drive innovation and evolution in the development of new technologies. The book combines perspectives from authors distributed around the world with expertise gained in academia and industry. It facilitates review work and identification of critical points in the research and offers insightful commentary on likely future developments in the field. It also provides: A thorough introduction to data mining and analysis, including the foundations of data preparation and a review of various analysis models and methods In-depth explorations of clustering, classification, and forecasting Intensive discussions of machine learning applications in power and energy systems Perfect for power and energy systems designers, planners, operators, and consultants, Intelligent Data Mining and Analysis in Power and Energy Systems will also earn a place in the libraries of software developers, researchers, and students with an interest in data mining and analysis problems.
Advanced Data Mining Technologies In Bioinformatics
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Author : Hsu, Hui-Huang
language : en
Publisher: IGI Global
Release Date : 2006-03-31
Advanced Data Mining Technologies In Bioinformatics written by Hsu, Hui-Huang and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-31 with Computers categories.
"This book covers research topics of data mining on bioinformatics presenting the basics and problems of bioinformatics and applications of data mining technologies pertaining to the field"--Provided by publisher.
Data Mining With Computational Intelligence
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Author : Lipo Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-08
Data Mining With Computational Intelligence written by Lipo Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-08 with Computers categories.
Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, banking, retail, and many others. Wang and Fu present in detail the state of the art on how to utilize fuzzy neural networks, multilayer perceptron neural networks, radial basis function neural networks, genetic algorithms, and support vector machines in such applications. They focus on three main data mining tasks: data dimensionality reduction, classification, and rule extraction. The book is targeted at researchers in both academia and industry, while graduate students and developers of data mining systems will also profit from the detailed algorithmic descriptions.
Data Mining Southeast Asia Edition
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Author : Jiawei Han
language : en
Publisher: Elsevier
Release Date : 2006-04-06
Data Mining Southeast Asia Edition written by Jiawei Han and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-06 with Computers categories.
Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge. Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data— including stream data, sequence data, graph structured data, social network data, and multi-relational data. - A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business data - Updates that incorporate input from readers, changes in the field, and more material on statistics and machine learning - Dozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projects - Complete classroom support for instructors at www.mkp.com/datamining2e companion site
Intelligent Agent Based Data Preprocessing For Classification In Data Mining
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Author : G. Suresh
language : en
Publisher: Shine Publisher
Release Date : 2023-07-03
Intelligent Agent Based Data Preprocessing For Classification In Data Mining written by G. Suresh and has been published by Shine Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-03 with categories.
The framework described in this research paper focuses on data preprocessing for classification tasks in data mining, utilizing intelligent software agents. The aim is to enhance the efficiency and effectiveness of data preparation stages by automating and optimizing various preprocessing tasks. The intelligent agents are designed to analyze and transform the raw data, addressing challenges such as missing values, noise, feature selection, and data integration. By leveraging intelligent techniques, such as machine learning and artificial intelligence algorithms, the framework intelligently handles data preprocessing tasks to improve the quality of input data for classification models. The agents autonomously perform data cleansing, normalization, dimensionality reduction, and other preprocessing operations. This enables researchers and practitioners to streamline the data preparation process and obtain more accurate and reliable results in their classification tasks. The proposed framework has implications for various domains that involve data mining and classification, including business analytics, healthcare, finance, and scientific research. By automating and optimizing data preprocessing, it reduces the burden on data scientists and analysts, enabling them to focus on higher-level tasks and decision-making. The intelligent agent-based approach contributes to advancing the field of data mining by improving the efficiency and effectiveness of classification tasks through intelligent data preprocessing.
Principles Of Data Mining And Knowledge Discovery
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Author :
language : en
Publisher:
Release Date : 1998
Principles Of Data Mining And Knowledge Discovery written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Data mining categories.
Data Mining Techniques In Grid Computing Environments
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Author : Werner Dubitzky
language : en
Publisher: Wiley-Blackwell
Release Date : 2008-12-22
Data Mining Techniques In Grid Computing Environments written by Werner Dubitzky and has been published by Wiley-Blackwell this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-22 with Computers categories.
Based around eleven international real life case studies and including contributions from leading experts in the field this groundbreaking book explores the need for the grid-enabling of data mining applications and provides a comprehensive study of the technology, techniques and management skills necessary to create them. This book provides a simultaneous design blueprint, user guide, and research agenda for current and future developments and will appeal to a broad audience; from developers and users of data mining and grid technology, to advanced undergraduate and postgraduate students interested in this field.
Software Agent Data Preprocessing Classification Data Mining
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Author : Suresh G
language : en
Publisher:
Release Date : 2024-01-13
Software Agent Data Preprocessing Classification Data Mining written by Suresh G and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-13 with Computers categories.
Data preprocessing is a crucial step in the realm of software agents and classification data mining, playing a pivotal role in enhancing the accuracy and efficiency of the subsequent analysis. This multifaceted process involves the transformation and manipulation of raw data into a format suitable for classification algorithms, ensuring that the extracted patterns and insights are meaningful and reliable. The initial phase encompasses data cleaning, where missing values, outliers, and inconsistencies are addressed, preventing these anomalies from influencing the classification results. Subsequently, data integration combines disparate sources, providing a comprehensive dataset for analysis. The normalization or scaling phase standardizes numerical features, eliminating potential biases introduced by varying scales. Feature selection then optimizes the dataset by identifying and retaining the most relevant attributes, reducing computational complexity and enhancing model interpretability. Textual and categorical data are often transformed through techniques like tokenization and one-hot encoding to facilitate the application of classification algorithms. Dimensionality reduction methods, such as principal component analysis (PCA), may be employed to further streamline the dataset. Additionally, addressing issues of class imbalance ensures that the classifier is not skewed towards the majority class, fostering a more accurate representation of the underlying patterns. Through these meticulous preprocessing steps, software agents are equipped with a refined dataset that sets the stage for effective classification in data mining, allowing for the extraction of meaningful patterns and insights from complex and diverse datasets.
Data Mining And Knowledge Discovery
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Author :
language : en
Publisher:
Release Date : 2002
Data Mining And Knowledge Discovery written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Data mining categories.