Improving Knowledge Discovery Through The Integration Of Data Mining Techniques

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Improving Knowledge Discovery through the Integration of Data Mining Techniques

Author : Usman, Muhammad
Publisher : IGI Global
ISBN 13 : 146668514X
Total Pages : 392 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Improving Knowledge Discovery through the Integration of Data Mining Techniques by : Usman, Muhammad

Download or read book Improving Knowledge Discovery through the Integration of Data Mining Techniques written by Usman, Muhammad and published by IGI Global. This book was released on 2015-08-03 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehousing technologies have similar objectives and can potentially benefit from each others methods to facilitate knowledge discovery. Improving Knowledge Discovery through the Integration of Data Mining Techniques provides insight concerning the integration of data mining and data warehousing for enhancing the knowledge discovery process. Decision makers, academicians, researchers, advanced-level students, technology developers, and business intelligence professionals will find this book useful in furthering their research exposure to relevant topics in knowledge discovery.

Improving Knowledge Discovery Through the Integration of Data Mining Techniques

Author :
Publisher :
ISBN 13 : 9781466685154
Total Pages : 0 pages
Book Rating : 4.6/5 (851 download)

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Book Synopsis Improving Knowledge Discovery Through the Integration of Data Mining Techniques by :

Download or read book Improving Knowledge Discovery Through the Integration of Data Mining Techniques written by and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides insight concerning the integration of data mining and data warehousing for enhancing the knowledge discovery process"--

Integration of Data Mining in Business Intelligence Systems

Author : Azevedo, Ana
Publisher : IGI Global
ISBN 13 : 1466664789
Total Pages : 314 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Integration of Data Mining in Business Intelligence Systems by : Azevedo, Ana

Download or read book Integration of Data Mining in Business Intelligence Systems written by Azevedo, Ana and published by IGI Global. This book was released on 2014-09-30 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries. Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems.

The Data Bonanza

Author : Malcolm Atkinson
Publisher : John Wiley & Sons
ISBN 13 : 1118540301
Total Pages : 423 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis The Data Bonanza by : Malcolm Atkinson

Download or read book The Data Bonanza written by Malcolm Atkinson and published by John Wiley & Sons. This book was released on 2013-03-19 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complete guidance for mastering the tools and techniques of the digital revolution With the digital revolution opening up tremendous opportunities in many fields, there is a growing need for skilled professionals who can develop data-intensive systems and extract information and knowledge from them. This book frames for the first time a new systematic approach for tackling the challenges of data-intensive computing, providing decision makers and technical experts alike with practical tools for dealing with our exploding data collections. Emphasizing data-intensive thinking and interdisciplinary collaboration, The Data Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business examines the essential components of knowledge discovery, surveys many of the current research efforts worldwide, and points to new areas for innovation. Complete with a wealth of examples and DISPEL-based methods demonstrating how to gain more from data in real-world systems, the book: Outlines the concepts and rationale for implementing data-intensive computing in organizations Covers from the ground up problem-solving strategies for data analysis in a data-rich world Introduces techniques for data-intensive engineering using the Data-Intensive Systems Process Engineering Language DISPEL Features in-depth case studies in customer relations, environmental hazards, seismology, and more Showcases successful applications in areas ranging from astronomy and the humanities to transport engineering Includes sample program snippets throughout the text as well as additional materials on a companion website The Data Bonanza is a must-have guide for information strategists, data analysts, and engineers in business, research, and government, and for anyone wishing to be on the cutting edge of data mining, machine learning, databases, distributed systems, or large-scale computing.

Data Mining with Ontologies: Implementations, Findings, and Frameworks

Author : Nigro, Hector Oscar
Publisher : IGI Global
ISBN 13 : 1599046202
Total Pages : 312 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Data Mining with Ontologies: Implementations, Findings, and Frameworks by : Nigro, Hector Oscar

Download or read book Data Mining with Ontologies: Implementations, Findings, and Frameworks written by Nigro, Hector Oscar and published by IGI Global. This book was released on 2007-07-31 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Prior knowledge in data mining is helpful for selecting suitable data and mining techniques, pruning the space of hypothesis, representing the output in a comprehensible way, and improving the overall method. This book examines methodologies and research for the development of ontological foundations for data mining to enhance the ability of ontology utilization and design"--Provided by publisher.

Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains

Author : Kumar, A.V. Senthil
Publisher : IGI Global
ISBN 13 : 160960069X
Total Pages : 414 pages
Book Rating : 4.6/5 (96 download)

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Book Synopsis Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains by : Kumar, A.V. Senthil

Download or read book Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains written by Kumar, A.V. Senthil and published by IGI Global. This book was released on 2010-08-31 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains introduces the reader to recent research activities in the field of data mining. This book covers association mining, classification, mobile marketing, opinion mining, microarray data mining, internet mining and applications of data mining on biological data, telecommunication and distributed databases, among others, while promoting understanding and implementation of data mining techniques in emerging domains.

Data Mining and Knowledge Discovery for Big Data

Author : Wesley W. Chu
Publisher : Springer Science & Business Media
ISBN 13 : 3642408370
Total Pages : 311 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Data Mining and Knowledge Discovery for Big Data by : Wesley W. Chu

Download or read book Data Mining and Knowledge Discovery for Big Data written by Wesley W. Chu and published by Springer Science & Business Media. This book was released on 2013-09-24 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many of these applications search for patterns in complex structural information. In biomedicine for example, modeling complex biological systems requires linking knowledge across many levels of science, from genes to disease. Further, the data characteristics of the problems have also grown from static to dynamic and spatiotemporal, complete to incomplete, and centralized to distributed, and grow in their scope and size (this is known as big data). The effective integration of big data for decision-making also requires privacy preservation. The contributions to this monograph summarize the advances of data mining in the respective fields. This volume consists of nine chapters that address subjects ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.

Knowledge Discovery and Data Mining

Author : Honghua Tan
Publisher : Springer Science & Business Media
ISBN 13 : 364227708X
Total Pages : 798 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Knowledge Discovery and Data Mining by : Honghua Tan

Download or read book Knowledge Discovery and Data Mining written by Honghua Tan and published by Springer Science & Business Media. This book was released on 2012-02-04 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume includes a set of selected papers extended and revised from the 4th International conference on Knowledge Discovery and Data Mining, March 1-2, 2011, Macau, Chin. This Volume is to provide a forum for researchers, educators, engineers, and government officials involved in the general areas of knowledge discovery and data mining and learning to disseminate their latest research results and exchange views on the future research directions of these fields. 108 high-quality papers are included in the volume.

Advances in Knowledge Discovery and Data Mining

Author : David Cheung
Publisher : Springer Science & Business Media
ISBN 13 : 3540260765
Total Pages : 885 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : David Cheung

Download or read book Advances in Knowledge Discovery and Data Mining written by David Cheung and published by Springer Science & Business Media. This book was released on 2005-05-10 with total page 885 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2005, held in Hanoi, Vietnam, in May 2005. The 48 revised full papers and 49 revised short papers presented together with abstracts or extended abstracts of 3 invited talks were carefully reviewed and selected from 327 submissions. The papers are organized in topical sections on theoretical foundations, association rules, biomedical domains, classification and ranking, clustering, dynamic data mining, graphical model discovery, high dimensional data, integration of data warehousing, knowledge management, machine learning, novel algorithms, spatial data, temporal data, and text and Web data mining.

Data Mining and Multi-agent Integration

Author : Longbing Cao
Publisher : Springer Science & Business Media
ISBN 13 : 1441905227
Total Pages : 334 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Data Mining and Multi-agent Integration by : Longbing Cao

Download or read book Data Mining and Multi-agent Integration written by Longbing Cao and published by Springer Science & Business Media. This book was released on 2009-07-25 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining and Multi agent Integration aims to re?ect state of the art research and development of agent mining interaction and integration (for short, agent min ing). The book was motivated by increasing interest and work in the agents data min ing, and vice versa. The interaction and integration comes about from the intrinsic challenges faced by agent technology and data mining respectively; for instance, multi agent systems face the problem of enhancing agent learning capability, and avoiding the uncertainty of self organization and intelligence emergence. Data min ing, if integrated into agent systems, can greatly enhance the learning skills of agents, and assist agents with predication of future states, thus initiating follow up action or intervention. The data mining community is now struggling with mining distributed, interactive and heterogeneous data sources. Agents can be used to man age such data sources for data access, monitoring, integration, and pattern merging from the infrastructure, gateway, message passing and pattern delivery perspectives. These two examples illustrate the potential of agent mining in handling challenges in respective communities. There is an excellent opportunity to create innovative, dual agent mining interac tion and integration technology, tools and systems which will deliver results in one new technology.

Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1522551921
Total Pages : 2336 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2018-01-05 with total page 2336 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increased use of technology in modern society, high volumes of multimedia information exists. It is important for businesses, organizations, and individuals to understand how to optimize this data and new methods are emerging for more efficient information management and retrieval. Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material in the field of information and communication technologies and explores how complex information systems interact with and affect one another. Highlighting a range of topics such as knowledge discovery, semantic web, and information resources management, this multi-volume book is ideally designed for researchers, developers, managers, strategic planners, and advanced-level students.

Advances in Data Mining

Author : Petra Perner
Publisher : Springer Science & Business Media
ISBN 13 : 3540441166
Total Pages : 115 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Advances in Data Mining by : Petra Perner

Download or read book Advances in Data Mining written by Petra Perner and published by Springer Science & Business Media. This book was released on 2002-08-21 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents six thoroughly reviewed and revised full papers describing selected projects on data mining. Three papers deal with data mining and e-commerce, focusing on sequence rule analysis, association rule mining and knowledge discovery in databases, and intelligent e-marketing with Web mining. One paper is devoted to experience management and process learning. The last two papers report on medical applications, namely on genomic data processing and on case-based reasoning for prognosis of influenza.

DATA MINING

Author : Narayan Changder
Publisher : CHANGDER OUTLINE
ISBN 13 :
Total Pages : 279 pages
Book Rating : 4./5 ( download)

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Book Synopsis DATA MINING by : Narayan Changder

Download or read book DATA MINING written by Narayan Changder and published by CHANGDER OUTLINE. This book was released on 2023-10-19 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the potential of data with our groundbreaking MCQ book, "Mastering Data Mining." Whether you're a seasoned data professional, a student entering the world of analytics, or a curious mind eager to delve into the realm of data, this comprehensive guide is your key to mastering the art and science of data mining. Key Features: In-Depth Exploration: Dive deep into the core concepts of data mining, from fundamental principles to advanced techniques. This book is your gateway to understanding how to extract valuable insights and patterns from vast datasets, equipping you with the skills to make informed decisions in today's data-driven world. Practical Applications: Move beyond theory with real-world applications of data mining. The book includes practical examples and case studies that demonstrate how data mining techniques are applied across various industries, giving you a hands-on understanding of their significance and impact. MCQs for Mastery: Reinforce your learning with a plethora of thoughtfully designed multiple-choice questions. Each question is crafted to test your understanding of key concepts, ensuring that you not only grasp theoretical knowledge but can also apply it effectively. Algorithmic Insights: Gain a solid foundation in the algorithms that power data mining. From clustering and association rule mining to classification and regression, this book demystifies complex algorithms, making them accessible to both beginners and experienced practitioners. Data Preprocessing Techniques: Understand the importance of data preprocessing and learn how to clean, transform, and prepare data for mining. This crucial step is often overlooked, but our book places a strong emphasis on ensuring your data is primed for meaningful analysis. Keyword Mastery: Navigate the landscape of data mining with ease using strategically placed keywords. This ensures that you not only comprehend the intricacies of data mining but also familiarize yourself with the terminology commonly used in the field. Practical Guidance: Beyond theory and algorithms, "Mastering Data Mining" provides practical guidance on selecting the right tools, interpreting results, and making informed decisions based on data-driven insights. This holistic approach prepares you for success in real-world scenarios. Who Will Benefit: Data Scientists and Analysts Students Pursuing Data Science Courses Business Intelligence Professionals Researchers and Academicians Anyone Intrigued by the Power of Data Elevate your data mining skills and embark on a journey of discovery. "Mastering Data Mining" is not just a book; it's your comprehensive guide to navigating the intricacies of data, transforming raw information into actionable intelligence. Order now and unlock the doors to a world of opportunities in the dynamic field of data mining. Transform data into knowledge. Master data mining with confidence and competence.

Data Mining Trends and Applications in Criminal Science and Investigations

Author : Isafiade, Omowunmi E.
Publisher : IGI Global
ISBN 13 : 1522504648
Total Pages : 386 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Data Mining Trends and Applications in Criminal Science and Investigations by : Isafiade, Omowunmi E.

Download or read book Data Mining Trends and Applications in Criminal Science and Investigations written by Isafiade, Omowunmi E. and published by IGI Global. This book was released on 2016-06-20 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of data mining is receiving significant attention in today's information-rich society, where data is available from different sources and formats, in large volumes, and no longer constitutes a bottleneck for knowledge acquisition. This rich information has paved the way for novel areas of research, particularly in the crime data analysis realm. Data Mining Trends and Applications in Criminal Science and Investigations presents scientific concepts and frameworks of data mining and analytics implementation and uses across various domains, such as public safety, criminal investigations, intrusion detection, crime scene analysis, and suspect modeling. Exploring the diverse ways that data is revolutionizing the field of criminal science, this publication meets the research needs of law enforcement professionals, data analysts, investigators, researchers, and graduate-level students.

Intelligent Techniques for Data Analysis in Diverse Settings

Author : Celebi, Numan
Publisher : IGI Global
ISBN 13 : 1522500766
Total Pages : 353 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Intelligent Techniques for Data Analysis in Diverse Settings by : Celebi, Numan

Download or read book Intelligent Techniques for Data Analysis in Diverse Settings written by Celebi, Numan and published by IGI Global. This book was released on 2016-04-20 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data analysis forms the basis of many forms of research ranging from the scientific to the governmental. With the advent of machine intelligence and neural networks, extracting, modeling, and approaching data has been unimpeachably altered. These changes, seemingly small, affect the way societies organize themselves, deliver services, or interact with each other. Intelligent Techniques for Data Analysis in Diverse Settings addresses the specialized requirements of data analysis in a comprehensive way. This title contains a comprehensive overview of the most innovative recent approaches borne from intelligent techniques such as neural networks, rough sets, fuzzy sets, and metaheuristics. 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.

Advanced Methods for Knowledge Discovery from Complex Data

Author : Ujjwal Maulik
Publisher : Springer Science & Business Media
ISBN 13 : 1846282845
Total Pages : 375 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Advanced Methods for Knowledge Discovery from Complex Data by : Ujjwal Maulik

Download or read book Advanced Methods for Knowledge Discovery from Complex Data written by Ujjwal Maulik and published by Springer Science & Business Media. This book was released on 2006-05-06 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?c and engineering research and the development of e?cient data collection tools. This has given rise to the need for automa- callyanalyzingthedatainordertoextractknowledgefromit,therebymaking the data potentially more useful. Knowledge discovery and data mining (KDD) is the process of identifying valid, novel, potentially useful and ultimately understandable patterns from massive data repositories. It is a multi-disciplinary topic, drawing from s- eral ?elds including expert systems, machine learning, intelligent databases, knowledge acquisition, case-based reasoning, pattern recognition and stat- tics. Many data mining systems have typically evolved around well-organized database systems (e.g., relational databases) containing relevant information. But, more and more, one ?nds relevant information hidden in unstructured text and in other complex forms. Mining in the domains of the world-wide web, bioinformatics, geoscienti?c data, and spatial and temporal applications comprise some illustrative examples in this regard. Discovery of knowledge, or potentially useful patterns, from such complex data often requires the - plication of advanced techniques that are better able to exploit the nature and representation of the data. Such advanced methods include, among o- ers, graph-based and tree-based approaches to relational learning, sequence mining, link-based classi?cation, Bayesian networks, hidden Markov models, neural networks, kernel-based methods, evolutionary algorithms, rough sets and fuzzy logic, and hybrid systems. Many of these methods are developed in the following chapters.

Granular-Relational Data Mining

Author : Piotr Hońko
Publisher : Springer
ISBN 13 : 3319527517
Total Pages : 123 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Granular-Relational Data Mining by : Piotr Hońko

Download or read book Granular-Relational Data Mining written by Piotr Hońko and published by Springer. This book was released on 2017-02-03 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides two general granular computing approaches to mining relational data, the first of which uses abstract descriptions of relational objects to build their granular representation, while the second extends existing granular data mining solutions to a relational case. Both approaches make it possible to perform and improve popular data mining tasks such as classification, clustering, and association discovery. How can different relational data mining tasks best be unified? How can the construction process of relational patterns be simplified? How can richer knowledge from relational data be discovered? All these questions can be answered in the same way: by mining relational data in the paradigm of granular computing! This book will allow readers with previous experience in the field of relational data mining to discover the many benefits of its granular perspective. In turn, those readers familiar with the paradigm of granular computing will find valuable insights on its application to mining relational data. Lastly, the book offers all readers interested in computational intelligence in the broader sense the opportunity to deepen their understanding of the newly emerging field granular-relational data mining.