Dynamic Data Mining

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Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality

Author : Tyagi, Amit Kumar
Publisher : IGI Global
ISBN 13 : 1799847047
Total Pages : 310 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality by : Tyagi, Amit Kumar

Download or read book Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality written by Tyagi, Amit Kumar and published by IGI Global. This book was released on 2021-01-08 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Augmented and virtual reality (AR and VR) offer exciting opportunities for human computer interaction (HCI), the enhancement of places, and new business cases. Though VR is most popular for video games, especially among younger generations, AR and VR can also be used in applications that include military, medical, navigational, tourism, marketing, and maintenance uses. Research in these technologies along with 3D user interfaces has gained momentum in recent years and has solidified it as a staple technology for the foreseeable future. Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality includes a collection of business case studies covering a variety of topics related to AR, VR, and mixed reality (MR) including their use in possible applications. This book also touches on the diverse uses of AR and VR in many industries and discusses their importance, challenges, and opportunities. While discussing the use these technologies in sectors such as education, healthcare, and computer science, this book is ideal for computer scientists, engineers, practitioners, stakeholders, researchers, academicians, and students who are interested in the latest research on augmented, mixed, and virtual reality.

Data Mining in Dynamic Social Networks and Fuzzy Systems

Author : Bhatnagar, Vishal
Publisher : IGI Global
ISBN 13 : 1466642149
Total Pages : 412 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Data Mining in Dynamic Social Networks and Fuzzy Systems by : Bhatnagar, Vishal

Download or read book Data Mining in Dynamic Social Networks and Fuzzy Systems written by Bhatnagar, Vishal and published by IGI Global. This book was released on 2013-06-30 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches

Author : Ali, A B M Shawkat
Publisher : IGI Global
ISBN 13 : 1605669091
Total Pages : 516 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches by : Ali, A B M Shawkat

Download or read book Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches written by Ali, A B M Shawkat and published by IGI Global. This book was released on 2009-11-30 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book discusses advances in modern data mining research in today's rapidly growing global and technological environment"--Provided by publisher.

Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining

Author : Hassan AbouEisha
Publisher : Springer
ISBN 13 : 3319918397
Total Pages : 277 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining by : Hassan AbouEisha

Download or read book Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining written by Hassan AbouEisha and published by Springer. This book was released on 2018-05-22 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic programming is an efficient technique for solving optimization problems. It is based on breaking the initial problem down into simpler ones and solving these sub-problems, beginning with the simplest ones. A conventional dynamic programming algorithm returns an optimal object from a given set of objects. This book develops extensions of dynamic programming, enabling us to (i) describe the set of objects under consideration; (ii) perform a multi-stage optimization of objects relative to different criteria; (iii) count the number of optimal objects; (iv) find the set of Pareto optimal points for bi-criteria optimization problems; and (v) to study relationships between two criteria. It considers various applications, including optimization of decision trees and decision rule systems as algorithms for problem solving, as ways for knowledge representation, and as classifiers; optimization of element partition trees for rectangular meshes, which are used in finite element methods for solving PDEs; and multi-stage optimization for such classic combinatorial optimization problems as matrix chain multiplication, binary search trees, global sequence alignment, and shortest paths. The results presented are useful for researchers in combinatorial optimization, data mining, knowledge discovery, machine learning, and finite element methods, especially those working in rough set theory, test theory, logical analysis of data, and PDE solvers. This book can be used as the basis for graduate courses.

Data Mining in Dynamic Social Networks and Fuzzy Systems

Author :
Publisher :
ISBN 13 : 9781466642157
Total Pages : 382 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Data Mining in Dynamic Social Networks and Fuzzy Systems by :

Download or read book Data Mining in Dynamic Social Networks and Fuzzy Systems written by and published by . This book was released on 2013 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book brings together research on the latest trends and patterns of data mining tools and techniques in dynamic social networks and fuzzy systems"--Provided by publisher.

Data Mining in Structural Dynamic Analysis

Author : Yun Lai Zhou
Publisher : Springer Nature
ISBN 13 : 9811505012
Total Pages : 175 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Data Mining in Structural Dynamic Analysis by : Yun Lai Zhou

Download or read book Data Mining in Structural Dynamic Analysis written by Yun Lai Zhou and published by Springer Nature. This book was released on 2019-11-22 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the applications of data mining technologies in structural dynamic analysis, including structural design, optimization, parameter identification, model updating, damage identification, in civil, mechanical, and aerospace engineering. These engineering applications require precise structural design, fabrication, inspection, and further monitoring to obtain a full life-cycle analysis, and by focusing on data processing, data mining technologies offer another aspect in structural dynamic analysis. Discussing techniques in time/frequency domain, such as Hilbert transforms, wavelet theory, and machine learning for structural dynamic analysis to help in structural monitoring and diagnosis, the book is an essential reference resource for beginners, graduates and industrial professionals in various fields.

Dynamic Data Mining

Author : Lucien Russell
Publisher :
ISBN 13 :
Total Pages : 63 pages
Book Rating : 4.:/5 (465 download)

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Book Synopsis Dynamic Data Mining by : Lucien Russell

Download or read book Dynamic Data Mining written by Lucien Russell and published by . This book was released on 1999 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Dynamic Data Mining

Author : Xiong Deng
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (93 download)

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Book Synopsis Dynamic Data Mining by : Xiong Deng

Download or read book Dynamic Data Mining written by Xiong Deng and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics

Author : Haruna Chiroma
Publisher : Springer Nature
ISBN 13 : 3030662888
Total Pages : 316 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics by : Haruna Chiroma

Download or read book Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics written by Haruna Chiroma and published by Springer Nature. This book was released on 2021-04-01 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses theories and empirical procedures for the application of machine learning and data mining to solve problems in cyber dynamics. It explains the fundamentals of cyber dynamics, and presents how these resilient algorithms, strategies, techniques can be used for the development of the cyberspace environment such as: cloud computing services; cyber security; data analytics; and, disruptive technologies like blockchain. The book presents new machine learning and data mining approaches in solving problems in cyber dynamics. Basic concepts, related work reviews, illustrations, empirical results and tables are integrated in each chapter to enable the reader to fully understand the concepts, methodology, and the results presented. The book contains empirical solutions of problems in cyber dynamics ready for industrial applications. The book will be an excellent starting point for postgraduate students and researchers because each chapter is design to have future research directions.

Data Mining in Time Series Databases

Author : Mark Last
Publisher : World Scientific
ISBN 13 : 9812382909
Total Pages : 205 pages
Book Rating : 4.8/5 (123 download)

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Book Synopsis Data Mining in Time Series Databases by : Mark Last

Download or read book Data Mining in Time Series Databases written by Mark Last and published by World Scientific. This book was released on 2004 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book include techniques for efficient segmentation, indexing, and classification of noisy and dynamic time series. A graph-based method for anomaly detection in time series is described and the book also studies the implications of a novel and potentially useful representation of time series as strings. The problem of detecting changes in data mining models that are induced from temporal databases is additionally discussed. Contents: A Survey of Recent Methods for Efficient Retrieval of Similar Time Sequences (H M Lie); Indexing of Compressed Time Series (E Fink & K Pratt); Boosting Interval-Based Literal: Variable Length and Early Classification (J J Rodriguez Diez); Segmenting Time Series: A Survey and Novel Approach (E Keogh et al.); Indexing Similar Time Series under Conditions of Noise (M Vlachos et al.); Classification of Events in Time Series of Graphs (H Bunke & M Kraetzl); Median Strings--A Review (X Jiang et al.); Change Detection in Classfication Models of Data Mining (G Zeira et al.). Readership: Graduate students, reseachers and practitioners in the fields of data mining, machine learning, databases and statistics.

Data Mining in Structural Dynamic Analysis

Author : Yun Lai Zhou
Publisher :
ISBN 13 : 9789811505027
Total Pages : 0 pages
Book Rating : 4.5/5 (5 download)

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Book Synopsis Data Mining in Structural Dynamic Analysis by : Yun Lai Zhou

Download or read book Data Mining in Structural Dynamic Analysis written by Yun Lai Zhou and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the applications of data mining technologies in structural dynamic analysis, including structural design, optimization, parameter identification, model updating, damage identification, in civil, mechanical, and aerospace engineering. These engineering applications require precise structural design, fabrication, inspection, and further monitoring to obtain a full life-cycle analysis, and by focusing on data processing, data mining technologies offer another aspect in structural dynamic analysis. Discussing techniques in time/frequency domain, such as Hilbert transforms, wavelet theory, and machine learning for structural dynamic analysis to help in structural monitoring and diagnosis, the book is an essential reference resource for beginners, graduates and industrial professionals in various fields.

Advanced Intelligent Systems for Sustainable Development (AI2SD’2018)

Author : Mostafa Ezziyyani
Publisher : Springer
ISBN 13 : 3030119289
Total Pages : 1005 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Advanced Intelligent Systems for Sustainable Development (AI2SD’2018) by : Mostafa Ezziyyani

Download or read book Advanced Intelligent Systems for Sustainable Development (AI2SD’2018) written by Mostafa Ezziyyani and published by Springer. This book was released on 2019-03-06 with total page 1005 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the outcomes of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2018), held in Tangier, Morocco on July 12–14, 2018. Presenting the latest research in the field of computing sciences and information technology, it discusses new challenges and provides valuable insights into the field, the goal being to stimulate debate, and to promote closer interaction and interdisciplinary collaboration between researchers and practitioners. Though chiefly intended for researchers and practitioners in advanced information technology management and networking, the book will also be of interest to those engaged in emerging fields such as data science and analytics, big data, internet of things, smart networked systems, artificial intelligence, expert systems and cloud computing.

Intelligent Problem Solving. Methodologies and Approaches

Author : Rasiah Logananthara
Publisher : Springer
ISBN 13 : 3540450491
Total Pages : 785 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Intelligent Problem Solving. Methodologies and Approaches by : Rasiah Logananthara

Download or read book Intelligent Problem Solving. Methodologies and Approaches written by Rasiah Logananthara and published by Springer. This book was released on 2003-07-31 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of the papers presented in these proceedings is on employing various methodologies and approaches for solving real-life problems. Although the mechanisms that the human brain employs to solve problems are not yet completely known, we do have good insight into the functional processing performed by the human mind. On the basis of the understanding of these natural processes, scientists in the field of applied intelligence have developed multiple types of artificial processes, and have employed them successfully in solving real-life problems. The types of approaches used to solve problems are dependant on both the nature of the problem and the expected outcome. While knowledge-based systems are useful for solving problems in well-understood domains with relatively stable environments, the approach may fail when the domain knowledge is either not very well understood or changing rapidly. The techniques of data discovery through data mining will help to alleviate some problems faced by knowledge-based approaches to solving problems in such domains. Research and development in the area of artificial intelligence are influenced by opportunity, needs, and the availability of resources. The rapid advancement of Internet technology and the trend of increasing bandwidths provide an opportunity and a need for intelligent information processing, thus creating an excellent opportunity for agent-based computations and learning. Over 40% of the papers appearing in the conference proceedings focus on the area of machine learning and intelligent agents - clear evidence of growing interest in this area.

Dynamic Data Mining Using an Electro-optical Data Warehouse

Author : P. Bruce Berra
Publisher :
ISBN 13 :
Total Pages : 60 pages
Book Rating : 4.:/5 (465 download)

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Book Synopsis Dynamic Data Mining Using an Electro-optical Data Warehouse by : P. Bruce Berra

Download or read book Dynamic Data Mining Using an Electro-optical Data Warehouse written by P. Bruce Berra and published by . This book was released on 1999 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Dynamic Warehousing

Author : Chuck Ballard
Publisher : Vervante
ISBN 13 : 9780738488868
Total Pages : 532 pages
Book Rating : 4.4/5 (888 download)

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Book Synopsis Dynamic Warehousing by : Chuck Ballard

Download or read book Dynamic Warehousing written by Chuck Ballard and published by Vervante. This book was released on 2007-01-01 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Mining and Exploration

Author : Chong Ho Alex Yu
Publisher : CRC Press
ISBN 13 : 1000777790
Total Pages : 290 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Data Mining and Exploration by : Chong Ho Alex Yu

Download or read book Data Mining and Exploration written by Chong Ho Alex Yu and published by CRC Press. This book was released on 2022-10-27 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces both conceptual and procedural aspects of cutting-edge data science methods, such as dynamic data visualization, artificial neural networks, ensemble methods, and text mining. There are at least two unique elements that can set the book apart from its rivals. First, most students in social sciences, engineering, and business took at least one class in introductory statistics before learning data science. However, usually these courses do not discuss the similarities and differences between traditional statistics and modern data science; as a result learners are disoriented by this seemingly drastic paradigm shift. In reaction, some traditionalists reject data science altogether while some beginning data analysts employ data mining tools as a “black box”, without a comprehensive view of the foundational differences between traditional and modern methods (e.g., dichotomous thinking vs. pattern recognition, confirmation vs. exploration, single method vs. triangulation, single sample vs. cross-validation etc.). This book delineates the transition between classical methods and data science (e.g. from p value to Log Worth, from resampling to ensemble methods, from content analysis to text mining etc.). Second, this book aims to widen the learner's horizon by covering a plethora of software tools. When a technician has a hammer, every problem seems to be a nail. By the same token, many textbooks focus on a single software package only, and consequently the learner tends to fit the problem with the tool, but not the other way around. To rectify the situation, a competent analyst should be equipped with a tool set, rather than a single tool. For example, when the analyst works with crucial data in a highly regulated industry, such as pharmaceutical and banking, commercial software modules (e.g., SAS) are indispensable. For a mid-size and small company, open-source packages such as Python would come in handy. If the research goal is to create an executive summary quickly, the logical choice is rapid model comparison. If the analyst would like to explore the data by asking what-if questions, then dynamic graphing in JMP Pro is a better option. This book uses concrete examples to explain the pros and cons of various software applications.

Engineering Compact Dynamic Data Structures and In-memory Data Mining

Author : Andreas Poyias
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (16 download)

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Book Synopsis Engineering Compact Dynamic Data Structures and In-memory Data Mining by : Andreas Poyias

Download or read book Engineering Compact Dynamic Data Structures and In-memory Data Mining written by Andreas Poyias and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: