Improving Knowledge Discovery Through The Integration Of Data Mining Techniques

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Improving Knowledge Discovery through the Integration of Data Mining Techniques

Usman, Muhammad
Improving Knowledge Discovery through the Integration of Data Mining Techniques Book PDF

Author : Usman, Muhammad
Publisher : IGI Global
Page : 392 pages
File Size : 49,6 Mb
Release : 2015-08-03
Category : Computers
ISBN : 9781466685147

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Improving Knowledge Discovery through the Integration of Data Mining Techniques by Usman, Muhammad Pdf

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 other’s 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

Anonim
Improving Knowledge Discovery Through the Integration of Data Mining Techniques Book PDF

Author : Anonim
Publisher : Unknown
Page : 0 pages
File Size : 50,9 Mb
Release : 2015
Category : Data mining
ISBN : 1466685158

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Improving Knowledge Discovery Through the Integration of Data Mining Techniques by Anonim Pdf

"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

Azevedo, Ana
Integration of Data Mining in Business Intelligence Systems Book PDF

Author : Azevedo, Ana
Publisher : IGI Global
Page : 314 pages
File Size : 47,5 Mb
Release : 2014-09-30
Category : Computers
ISBN : 9781466664784

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Integration of Data Mining in Business Intelligence Systems by Azevedo, Ana Pdf

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

Malcolm Atkinson,Rob Baxter,Peter Brezany,Oscar Corcho,Michelle Galea,Mark Parsons,David Snelling,Jano van Hemert
The Data Bonanza Book PDF

Author : Malcolm Atkinson,Rob Baxter,Peter Brezany,Oscar Corcho,Michelle Galea,Mark Parsons,David Snelling,Jano van Hemert
Publisher : John Wiley & Sons
Page : 423 pages
File Size : 54,9 Mb
Release : 2013-03-19
Category : Computers
ISBN : 9781118540305

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The Data Bonanza by Malcolm Atkinson,Rob Baxter,Peter Brezany,Oscar Corcho,Michelle Galea,Mark Parsons,David Snelling,Jano van Hemert Pdf

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.

Knowledge Discovery and Data Mining

Honghua Tan
Knowledge Discovery and Data Mining Book PDF

Author : Honghua Tan
Publisher : Springer Science & Business Media
Page : 798 pages
File Size : 46,9 Mb
Release : 2012-02-04
Category : Technology & Engineering
ISBN : 9783642277085

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Knowledge Discovery and Data Mining by Honghua Tan Pdf

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.

Data Mining with Ontologies: Implementations, Findings, and Frameworks

Nigro, Hector Oscar,Gonzalez Cisaro, Sandra Elizabeth,Xodo, Daniel Hugo
Data Mining with Ontologies Implementations Findings and Frameworks Book PDF

Author : Nigro, Hector Oscar,Gonzalez Cisaro, Sandra Elizabeth,Xodo, Daniel Hugo
Publisher : IGI Global
Page : 312 pages
File Size : 54,9 Mb
Release : 2007-07-31
Category : Computers
ISBN : 9781599046204

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Data Mining with Ontologies: Implementations, Findings, and Frameworks by Nigro, Hector Oscar,Gonzalez Cisaro, Sandra Elizabeth,Xodo, Daniel Hugo Pdf

"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

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

Author : Kumar, A.V. Senthil
Publisher : IGI Global
Page : 414 pages
File Size : 40,9 Mb
Release : 2010-08-31
Category : Computers
ISBN : 9781609600693

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

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

Wesley W. Chu
Data Mining and Knowledge Discovery for Big Data Book PDF

Author : Wesley W. Chu
Publisher : Springer Science & Business Media
Page : 311 pages
File Size : 42,7 Mb
Release : 2013-09-24
Category : Technology & Engineering
ISBN : 9783642408373

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Data Mining and Knowledge Discovery for Big Data by Wesley W. Chu Pdf

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.

Advances in Knowledge Discovery and Data Mining

David Cheung
Advances in Knowledge Discovery and Data Mining Book PDF

Author : David Cheung
Publisher : Springer Science & Business Media
Page : 885 pages
File Size : 53,5 Mb
Release : 2005-05-10
Category : Computers
ISBN : 9783540260769

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Advances in Knowledge Discovery and Data Mining by David Cheung Pdf

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

Longbing Cao
Data Mining and Multi agent Integration Book PDF

Author : Longbing Cao
Publisher : Springer Science & Business Media
Page : 334 pages
File Size : 43,9 Mb
Release : 2009-07-25
Category : Computers
ISBN : 9781441905222

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Data Mining and Multi-agent Integration by Longbing Cao Pdf

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

Management Association, Information Resources
Information Retrieval and Management Concepts Methodologies Tools and Applications Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2336 pages
File Size : 47,7 Mb
Release : 2018-01-05
Category : Computers
ISBN : 9781522551928

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

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

Petra Perner
Advances in Data Mining Book PDF

Author : Petra Perner
Publisher : Springer Science & Business Media
Page : 115 pages
File Size : 54,9 Mb
Release : 2002-08-21
Category : Business & Economics
ISBN : 9783540441168

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Advances in Data Mining by Petra Perner Pdf

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.

Knowledge Discovery Process and Methods to Enhance Organizational Performance

Kweku-Muata Osei-Bryson,Corlane Barclay
Knowledge Discovery Process and Methods to Enhance Organizational Performance Book PDF

Author : Kweku-Muata Osei-Bryson,Corlane Barclay
Publisher : CRC Press
Page : 404 pages
File Size : 44,9 Mb
Release : 2015-03-16
Category : Business & Economics
ISBN : 9781482212389

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Knowledge Discovery Process and Methods to Enhance Organizational Performance by Kweku-Muata Osei-Bryson,Corlane Barclay Pdf

Although the terms "data mining" and "knowledge discovery and data mining" (KDDM) are sometimes used interchangeably, data mining is actually just one step in the KDDM process. Data mining is the process of extracting useful information from data, while KDDM is the coordinated process of understanding the business and mining the data in order to id

Advanced Methods for Knowledge Discovery from Complex Data

Ujjwal Maulik,Lawrence B. Holder,Diane J. Cook
Advanced Methods for Knowledge Discovery from Complex Data Book PDF

Author : Ujjwal Maulik,Lawrence B. Holder,Diane J. Cook
Publisher : Springer Science & Business Media
Page : 375 pages
File Size : 42,9 Mb
Release : 2006-05-06
Category : Computers
ISBN : 9781846282843

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Advanced Methods for Knowledge Discovery from Complex Data by Ujjwal Maulik,Lawrence B. Holder,Diane J. Cook Pdf

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.

DATA MINING

Narayan Changder
DATA MINING Book PDF

Author : Narayan Changder
Publisher : CHANGDER OUTLINE
Page : 279 pages
File Size : 49,8 Mb
Release : 2023-10-19
Category : Computers
ISBN : 8210379456XXX

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DATA MINING by Narayan Changder Pdf

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.