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Pattern Directed Information Analysis


Pattern Directed Information Analysis
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Pattern Directed Information Analysis


Pattern Directed Information Analysis
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Author : Bhabatosh Chanda
language : en
Publisher: New Age International
Release Date : 2009

Pattern Directed Information Analysis written by Bhabatosh Chanda and has been published by New Age International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Artificial intelligence categories.




Data Analysis And Pattern Recognition In Multiple Databases


Data Analysis And Pattern Recognition In Multiple Databases
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Author : Animesh Adhikari
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-09

Data Analysis And Pattern Recognition In Multiple Databases written by Animesh Adhikari 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 2013-12-09 with Technology & Engineering categories.


Pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. As we need to handle different data, the nature of patterns, their recognition and the types of data analyses are bound to change. Since the number of data collection channels increases in the recent time and becomes more diversified, many real-world data mining tasks can easily acquire multiple databases from various sources. In these cases, data mining becomes more challenging for several essential reasons. We may encounter sensitive data originating from different sources - those cannot be amalgamated. Even if we are allowed to place different data together, we are certainly not able to analyze them when local identities of patterns are required to be retained. Thus, pattern recognition in multiple databases gives rise to a suite of new, challenging problems different from those encountered before. Association rule mining, global pattern discovery and mining patterns of select items provide different patterns discovery techniques in multiple data sources. Some interesting item-based data analyses are also covered in this book. Interesting patterns, such as exceptional patterns, icebergs and periodic patterns have been recently reported. The book presents a thorough influence analysis between items in time-stamped databases. The recent research on mining multiple related databases is covered while some previous contributions to the area are highlighted and contrasted with the most recent developments.



Pattern Directed Inference Systems


Pattern Directed Inference Systems
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Author : D. A. Waterman
language : en
Publisher: Academic Press
Release Date : 2014-05-10

Pattern Directed Inference Systems written by D. A. Waterman and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Reference categories.


Pattern-Directed Inference Systems provides a description of the design and implementation of pattern-directed inference systems (PDIS) for various applications. The book also addresses the theoretical significance of PDIS for artificial intelligence and cognitive psychology. The book is divided into eight sections. The introduction provides a brief overview of pattern-directed inference systems, including a historical perspective, a review of basic concepts, and a survey of work in this area. Subsequent chapters address topics on architecture and design, methods for accessing and controlling rule based systems, methods for obtaining adaptive behavior via rule-based systems and cognitive modeling. Constructing models of human information processing, natural language understanding and multilevel systems and complexity are described as well. The last section discusses the earlier chapters in the book and provides a unifying set of principles for the PDIS formalism. Computer scientists, psychologists, engineers, and researchers in artificial intelligence will find the book very informative.



Pattern Recognition


Pattern Recognition
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Author : Wladyslaw Homenda
language : en
Publisher: John Wiley & Sons
Release Date : 2018-02-09

Pattern Recognition written by Wladyslaw Homenda 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 2018-02-09 with Technology & Engineering categories.


A new approach to the issue of data quality in pattern recognition Detailing foundational concepts before introducing more complex methodologies and algorithms, this book is a self-contained manual for advanced data analysis and data mining. Top-down organization presents detailed applications only after methodological issues have been mastered, and step-by-step instructions help ensure successful implementation of new processes. By positioning data quality as a factor to be dealt with rather than overcome, the framework provided serves as a valuable, versatile tool in the analysis arsenal. For decades, practical need has inspired intense theoretical and applied research into pattern recognition for numerous and diverse applications. Throughout, the limiting factor and perpetual problem has been data—its sheer diversity, abundance, and variable quality presents the central challenge to pattern recognition innovation. Pattern Recognition: A Quality of Data Perspective repositions that challenge from a hurdle to a given, and presents a new framework for comprehensive data analysis that is designed specifically to accommodate problem data. Designed as both a practical manual and a discussion about the most useful elements of pattern recognition innovation, this book: Details fundamental pattern recognition concepts, including feature space construction, classifiers, rejection, and evaluation Provides a systematic examination of the concepts, design methodology, and algorithms involved in pattern recognition Includes numerous experiments, detailed schemes, and more advanced problems that reinforce complex concepts Acts as a self-contained primer toward advanced solutions, with detailed background and step-by-step processes Introduces the concept of granules and provides a framework for granular computing Pattern recognition plays a pivotal role in data analysis and data mining, fields which are themselves being applied in an expanding sphere of utility. By facing the data quality issue head-on, this book provides students, practitioners, and researchers with a clear way forward amidst the ever-expanding data supply.



Pattern Analysis


Pattern Analysis
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Author : Heinrich Niemann
language : en
Publisher: Springer
Release Date : 1981-07

Pattern Analysis written by Heinrich Niemann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981-07 with Computers categories.


This book is devoted to pattern analysis, that is, the automatic construc tion of a symbolic description for a complex pattern, like an image or con nected speech. Pattern analysis thus tries to simulate certain capabilities which go without saying in any human central nervous system. The increasing interest and growing efforts at solving the problems related with pattern analysis are motivated by the challenge of the problem and the expected ap plications. Potential applications are numerous and result from the fact that data can be gathered and stored by modern devices in ever increasing extent, thus making the finding of particular interesting facts or events in these hosts of data an ever increasing problem. It was tried to organize the book around one particular view of pattern analysis: the view that pattern analysis requires an appropriate set of modules operating on a common data base which contains interme processing diate results of processing. Although other views are certainly possible, this one was adopted because the author feels that it is a useful idea, be cause the size of this book had to be kept within reasonable bounds, and because it facilitated the composition of fairly self-contained chapters.



Tutorial Context Directed Pattern Recognition And Machine Intelligence Techniques For Information Processing


Tutorial Context Directed Pattern Recognition And Machine Intelligence Techniques For Information Processing
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Author : Yoh-Han Pao
language : en
Publisher:
Release Date : 1982

Tutorial Context Directed Pattern Recognition And Machine Intelligence Techniques For Information Processing written by Yoh-Han Pao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Pattern recognition systems categories.




Machine Interpretation Of Patterns Image Analysis And Data Mining


Machine Interpretation Of Patterns Image Analysis And Data Mining
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Author : Rajat K De
language : en
Publisher: World Scientific
Release Date : 2010-06-26

Machine Interpretation Of Patterns Image Analysis And Data Mining written by Rajat K De and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-26 with Computers categories.


This review volume provides from both theoretical and application points of views, recent developments and state-of-the-art reviews in various areas of pattern recognition, image processing, machine learning, soft computing, data mining and web intelligence.Machine Interpretation of Patterns: Image Analysis and Data Mining is an essential and invaluable resource for professionals and advanced graduates in computer science, mathematics and life sciences. It can also be considered as an integrated volume to researchers interested in doing interdisciplinary research where computer science is a component.



Pattern Analysis Of Directed Graphs Using Dedicom


Pattern Analysis Of Directed Graphs Using Dedicom
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Author : Brett William Bader
language : en
Publisher:
Release Date : 2006

Pattern Analysis Of Directed Graphs Using Dedicom written by Brett William Bader and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.


DEDICOM is a linear algebra model for analyzing intrinsically asymmetric relationships, such as trade among nations or the exchange of emails among individuals. DEDICOM decomposes a complex pattern of observed relations among objects into a sum of simpler patterns of inferred relations among latent components of the objects. Three-way DEDICOM is a higher-order extension of the model that incorporates a third mode of the data, such as time, giving it stronger uniqueness properties and consequently enhancing interpretability of solutions. In this paper, we present algorithms for computing these decompositions on large, sparse data as well as a variant for computing an asymmetric nonnegative factorization. When we apply these techniques to adjacency arrays arising from directed graphs with edges labeled by time, we obtain a smaller graph on latent semantic dimensions and gain additional information about their changing relationships over time. We demonstrate these techniques on the Enron email corpus to learn about the social networks and their transient behavior. The mixture of roles assigned to individuals by DEDICOM showed strong correspondence with known job classifications and revealed the patterns of communication between these roles. Changes in the communication pattern over time, e.g., between top executives and the legal department, were also apparent in the solutions.



Knowledge Based Intelligent Information And Engineering Systems


Knowledge Based Intelligent Information And Engineering Systems
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Author : Mircea Gh. Negoita
language : en
Publisher: Springer
Release Date : 2004-10-14

Knowledge Based Intelligent Information And Engineering Systems written by Mircea Gh. Negoita and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-10-14 with Computers categories.


We were very pleased to once again extend to the delegates and, we are pleased to th say, our friends the warmest of welcomes to the 8 International Conference on Knowledge-Based Intelligent Information and Engineering Systems at Wellington - stitute of Technology in Wellington, New Zealand. The KES conferences attract a wide range of interest. The broad focus of the c- ference series is the theory and applications of computational intelligence and em- gent technologies. Once purely a research field, intelligent systems have advanced to the point where their abilities have been incorporated into many conventional appli- tion areas. The quest to encapsulate human knowledge and capabilities in domains such as reasoning, problem solving, sensory analysis, and other complex areas has been avidly pursued. This is because it has been demonstrated that these abilities have definite practical applications. The techniques long ago reached the point where they are being exploited to provide commercial advantages for companies and real beneficial effects on profits. KES 2004 provided a valuable mechanism for delegates to obtain a profound view of the latest intelligent systems research into a range of - gorithms, tools and techniques. KES 2004 also gave delegates the chance to come into contact with those applying intelligent systems in diverse commercial areas. The combination of theory and practice represents a uniquely valuable opportunity for - preciating the full spectrum of intelligent-systems activity and the “state of the art”.



Algorithms And Models For Network Data And Link Analysis


Algorithms And Models For Network Data And Link Analysis
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Author : François Fouss
language : en
Publisher: Cambridge University Press
Release Date : 2016-07-12

Algorithms And Models For Network Data And Link Analysis written by François Fouss 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 2016-07-12 with Computers categories.


A hands-on, entry-level guide to algorithms for extracting information about social and economic behavior from network data.