Innovative Techniques And Applications Of Entity Resolution
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Innovative Techniques And Applications Of Entity Resolution
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Author : Wang, Hongzhi
language : en
Publisher: IGI Global
Release Date : 2014-02-28
Innovative Techniques And Applications Of Entity Resolution written by Wang, Hongzhi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-28 with Computers categories.
Entity resolution is an essential tool in processing and analyzing data in order to draw precise conclusions from the information being presented. Further research in entity resolution is necessary to help promote information quality and improved data reporting in multidisciplinary fields requiring accurate data representation. Innovative Techniques and Applications of Entity Resolution draws upon interdisciplinary research on tools, techniques, and applications of entity resolution. This research work provides a detailed analysis of entity resolution applied to various types of data as well as appropriate techniques and applications and is appropriately designed for students, researchers, information professionals, and system developers.
Innovative Techniques And Applications Of Entity Resolution
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Author : Hongzhi Wang
language : en
Publisher: Information Science Reference
Release Date : 2014
Innovative Techniques And Applications Of Entity Resolution written by Hongzhi Wang and has been published by Information Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Data mining categories.
"This book draws upon interdisciplinary research on tools, techniques, and applications of entity resolution and provides a detailed analysis of entity resolution applied to various types of data as well as appropriate techniques and applications"--
Data Matching
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Author : Peter Christen
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-07-04
Data Matching written by Peter Christen 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 2012-07-04 with Computers categories.
Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial intelligence, database management, and digital libraries, significant advances have been achieved over the last decade in all aspects of the data matching process, especially on how to improve the accuracy of data matching, and its scalability to large databases. Peter Christen’s book is divided into three parts: Part I, “Overview”, introduces the subject by presenting several sample applications and their special challenges, as well as a general overview of a generic data matching process. Part II, “Steps of the Data Matching Process”, then details its main steps like pre-processing, indexing, field and record comparison, classification, and quality evaluation. Lastly, part III, “Further Topics”, deals with specific aspects like privacy, real-time matching, or matching unstructured data. Finally, it briefly describes the main features of many research and open source systems available today. By providing the reader with a broad range of data matching concepts and techniques and touching on all aspects of the data matching process, this book helps researchers as well as students specializing in data quality or data matching aspects to familiarize themselves with recent research advances and to identify open research challenges in the area of data matching. To this end, each chapter of the book includes a final section that provides pointers to further background and research material. Practitioners will better understand the current state of the art in data matching as well as the internal workings and limitations of current systems. Especially, they will learn that it is often not feasible to simply implement an existing off-the-shelf data matching system without substantial adaption and customization. Such practical considerations are discussed for each of the major steps in the data matching process.
Web Usage Mining Techniques And Applications Across Industries
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Author : Kumar, A.V. Senthil
language : en
Publisher: IGI Global
Release Date : 2016-08-12
Web Usage Mining Techniques And Applications Across Industries written by Kumar, A.V. Senthil and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-12 with Computers categories.
Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand and serve the needs of web-based applications. Because the internet has become a central component in information sharing and commerce, having the ability to analyze user behavior on the web has become a critical component to a variety of industries. Web Usage Mining Techniques and Applications Across Industries addresses the systems and methodologies that enable organizations to predict web user behavior as a way to support website design and personalization of web-based services and commerce. Featuring perspectives from a variety of sectors, this publication is designed for use by IT specialists, business professionals, researchers, and graduate-level students interested in learning more about the latest concepts related to web-based information retrieval and mining.
Biologically Inspired Techniques For Knowledge Discovery And Data Mining
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Author : Alam, Shafiq
language : en
Publisher: IGI Global
Release Date : 2014-05-31
Biologically Inspired Techniques For Knowledge Discovery And Data Mining written by Alam, Shafiq and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-31 with Computers categories.
Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information extraction in healthcare and bioinformatics. Over the past decade, research materials in this area have dramatically increased, providing clear evidence of the popularity of these techniques. Biologically-Inspired Techniques for Knowledge Discovery and Data Mining exemplifies prestigious research and shares the practices that have allowed these areas to grow and flourish. This essential reference publication highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems. Providing quality work from established researchers, this publication serves to extend existing knowledge within the research communities of data mining and knowledge discovery, as well as for academicians and students in the field.
Improving Knowledge Discovery Through The Integration Of Data Mining Techniques
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Author : Usman, Muhammad
language : en
Publisher: IGI Global
Release Date : 2015-08-03
Improving Knowledge Discovery Through The Integration Of Data Mining Techniques written by Usman, Muhammad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-03 with Computers categories.
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.
Artificial Intelligence Applications And Innovations
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Author : Ilias Maglogiannis
language : en
Publisher: Springer Nature
Release Date : 2022-06-16
Artificial Intelligence Applications And Innovations written by Ilias Maglogiannis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-16 with Computers categories.
This book constitutes the refereed proceedings of five International Workshops held as parallel events of the 18th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2022, virtually and in Hersonissos, Crete, Greece, in June 2022: the 11th Mining Humanistic Data Workshop (MHDW 2022); the 7th 5G-Putting Intelligence to the Network Edge Workshop (5G-PINE 2022); the 1st workshop on AI in Energy, Building and Micro-Grids (AIBMG 2022); the 1st Workshop/Special Session on Machine Learning and Big Data in Health Care (ML@HC 2022); and the 2nd Workshop on Artificial Intelligence in Biomedical Engineering and Informatics (AIBEI 2022). The 35 full papers presented at these workshops were carefully reviewed and selected from 74 submissions.
Emerging Methods In Predictive Analytics Risk Management And Decision Making
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Author : Hsu, William H.
language : en
Publisher: IGI Global
Release Date : 2014-01-31
Emerging Methods In Predictive Analytics Risk Management And Decision Making written by Hsu, William H. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-31 with Business & Economics categories.
Decision making tools are essential for the successful outcome of any organization. Recent advances in predictive analytics have aided in identifying particular points of leverage where critical decisions can be made. Emerging Methods in Predictive Analytics: Risk Management and Decision Making provides an interdisciplinary approach to predictive analytics; bringing together the fields of business, statistics, and information technology for effective decision making. Managers, business professionals, and decision makers in diverse fields will find the applications and cases presented in this text essential in providing new avenues for risk assessment, management, and predicting the future outcomes of their decisions.
Mobile Technologies For Activity Travel Data Collection And Analysis
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Author : Rasouli, Soora
language : en
Publisher: IGI Global
Release Date : 2014-06-30
Mobile Technologies For Activity Travel Data Collection And Analysis written by Rasouli, Soora and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-30 with Computers categories.
"This book concentrates on one particular and fast-growing application of mobile technologies: data acquisition for the tourism industry, providing travel agents, visitors, and hosts with the most advanced data mining methods, empirical research findings, and computational analysis techniques necessary to compete effectively in the global tourism industry"--Provided by publisher.
Data Mining And Analysis In The Engineering Field
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Author : Bhatnagar, Vishal
language : en
Publisher: IGI Global
Release Date : 2014-05-31
Data Mining And Analysis In The Engineering Field written by Bhatnagar, Vishal and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-31 with Computers categories.
Particularly in the fields of software engineering, virtual reality, and computer science, data mining techniques play a critical role in the success of a variety of projects and endeavors. Understanding the available tools and emerging trends in this field is an important consideration for any organization. Data Mining and Analysis in the Engineering Field explores current research in data mining, including the important trends and patterns and their impact in fields such as software engineering. With a focus on modern techniques as well as past experiences, this vital reference work will be of greatest use to engineers, researchers, and practitioners in scientific-, engineering-, and business-related fields.