A Robust Fuzzy Based Clustering Approach In Data Mining Using On Call Data Records
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A Robust Fuzzy Based Clustering Approach In Data Mining Using On Call Data Records
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Author : Independently Published
language : en
Publisher:
Release Date : 2017-08-09
A Robust Fuzzy Based Clustering Approach In Data Mining Using On Call Data Records written by Independently Published and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-09 with categories.
Information mining, the extraction of concealed prognostic information from mammoth databases, might be an intense new innovation with decent potential to help firms represent considerable authority in the chief fundamental data in their insight stores. information preparing devices anticipate future patterns and practices, allowing organizations to make proactive, learning driven decisions
Data Mining In Dynamic Social Networks And Fuzzy Systems
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Author : Bhatnagar, Vishal
language : en
Publisher: IGI Global
Release Date : 2013-06-30
Data Mining In Dynamic Social Networks And Fuzzy Systems 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 2013-06-30 with Computers categories.
Many organizations, whether in the public or private sector, have begun to take advantage of the tools and techniques used for data mining. Utilizing data mining tools, these organizations are able to reveal the hidden and unknown information from available data. Data Mining in Dynamic Social Networks and Fuzzy Systems brings together research on the latest trends and patterns of data mining tools and techniques in dynamic social networks and fuzzy systems. With these improved modern techniques of data mining, this publication aims to provide insight and support to researchers and professionals concerned with the management of expertise, knowledge, information, and organizational development.
Fuzzy C Mean Clustering Using Data Mining
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Author : VIGNESH RAMAMOORTHY H
language : en
Publisher: BookRix
Release Date : 2019-11-28
Fuzzy C Mean Clustering Using Data Mining written by VIGNESH RAMAMOORTHY H and has been published by BookRix this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-28 with Technology & Engineering categories.
The goal of traditional clustering is to assign each data point to one and only one cluster. In contrast, fuzzy clustering assigns different degrees of membership to each point. The membership of a point is thus shared among various clusters. This creates the concept of fuzzy boundaries which differs from the traditional concept of well-defined boundaries. In hard clustering, data is divided into distinct clusters, where each data element belongs to exactly one cluster. In fuzzy clustering (also referred to as soft clustering), data elements can belong to more than one cluster, and associated with each element is a set of membership levels. These indicate the strength of the association between that data element and a particular cluster. Fuzzy clustering is a process of assigning these membership levels, and then using them to assign data elements to one or more clusters. This algorithm uses the FCM traditional algorithm to locate the centers of clusters for a bulk of data points. The potential of all data points is being calculated with respect to specified centers. The availability of dividing the data set into large number of clusters will slow the processing time and needs more memory size for the program. Hence traditional clustering should device the data to four clusters and each data point should be located in one specified cluster .Imprecision in data and information gathered from and about our environment is either statistical(e.g., the outcome of a coin toss is a matter of chance) or no statistical (e.g., “apply the brakes pretty soon”). Many algorithms can be implemented to develop clustering of data sets. Fuzzy C-mean clustering (FCM) is efficient and common algorithm. We are tuning this algorithm to get a solution for the rest of data point which omitted because of its farness from all clusters. To develop a high performance algorithm that sort and group data set in variable number of clusters to use this data in control and managing of those clusters.
Cluster Analysis For Data Mining And System Identification
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Author : János Abonyi
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-08-10
Cluster Analysis For Data Mining And System Identification written by János Abonyi 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 2007-08-10 with Mathematics categories.
The aim of this book is to illustrate that advanced fuzzy clustering algorithms can be used not only for partitioning of the data. It can also be used for visualization, regression, classification and time-series analysis, hence fuzzy cluster analysis is a good approach to solve complex data mining and system identification problems. This book is oriented to undergraduate and postgraduate and is well suited for teaching purposes.
Information Technology And Organizations
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Author : Mehdi Khosrowpour
language : en
Publisher: IGI Global
Release Date : 2003-01-01
Information Technology And Organizations written by Mehdi Khosrowpour and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-01 with Computers categories.
This volume aims to provide a collection of unique perspectives on the issues surrounding the management of information technology in organizations around the world and the ways in which these issues are addressed.
Challenges And Applications Of Data Analytics In Social Perspectives
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Author : Sathiyamoorthi, V.
language : en
Publisher: IGI Global
Release Date : 2020-12-04
Challenges And Applications Of Data Analytics In Social Perspectives written by Sathiyamoorthi, V. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-04 with Computers categories.
With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine learning, driven by advancements in artificial intelligence, has made great strides, it has not been able to surpass a number of challenges that still prevail in the way of better success. Such limitations as the lack of better methods, deeper understanding of problems, and advanced tools are hindering progress. Challenges and Applications of Data Analytics in Social Perspectives provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. The content within this publication examines topics that include collaborative filtering, data visualization, and edge computing. It provides research ideal for data scientists, data analysts, IT specialists, website designers, e-commerce professionals, government officials, software engineers, social media analysts, industry professionals, academicians, researchers, and students.
Official Gazette Of The United States Patent And Trademark Office
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Author : United States. Patent and Trademark Office
language : en
Publisher:
Release Date : 2001
Official Gazette Of The United States Patent And Trademark Office written by United States. Patent and Trademark Office and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Patents categories.
Pc Ai
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Author :
language : en
Publisher:
Release Date : 1998
Pc Ai 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 Artificial intelligence categories.
Model Based Clustering And Classification For Data Science
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Author : Charles Bouveyron
language : en
Publisher: Cambridge University Press
Release Date : 2019-07-25
Model Based Clustering And Classification For Data Science written by Charles Bouveyron and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-25 with Business & Economics categories.
Colorful example-rich introduction to the state-of-the-art for students in data science, as well as researchers and practitioners.
Protecting Individual Privacy In The Struggle Against Terrorists
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Author : National Research Council
language : en
Publisher: National Academies Press
Release Date : 2008-10-26
Protecting Individual Privacy In The Struggle Against Terrorists written by National Research Council and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-26 with Computers categories.
All U.S. agencies with counterterrorism programs that collect or "mine" personal data-such as phone records or Web sites visited-should be required to evaluate the programs' effectiveness, lawfulness, and impacts on privacy. A framework is offered that agencies can use to evaluate such information-based programs, both classified and unclassified. The book urges Congress to re-examine existing privacy law to assess how privacy can be protected in current and future programs and recommends that any individuals harmed by violations of privacy be given a meaningful form of redress. Two specific technologies are examined: data mining and behavioral surveillance. Regarding data mining, the book concludes that although these methods have been useful in the private sector for spotting consumer fraud, they are less helpful for counterterrorism because so little is known about what patterns indicate terrorist activity. Regarding behavioral surveillance in a counterterrorist context, the book concludes that although research and development on certain aspects of this topic are warranted, there is no scientific consensus on whether these techniques are ready for operational use at all in counterterrorism.