Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Designing A Multi Level Support Based Association Mining Algorithm
Download Designing A Multi Level Support Based Association Mining Algorithm full books in PDF, epub, and Kindle. Read online Designing A Multi Level Support Based Association Mining Algorithm ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Designing a Multi Level Support Based Association Mining Algorithm by : Shanmuganathan Vasanthapriyan
Download or read book Designing a Multi Level Support Based Association Mining Algorithm written by Shanmuganathan Vasanthapriyan and published by Lulu.com. This book was released on 2014-09-29 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finding of hidden and previously unknown information in large collection of data is the process of data mining. Mining association rules is a very important model in data mining. Using association rules different type of regularities and patterns can be identified. The main approach of association rules is the market basket analysis which exposes relationships between the items customers are regularly buying. In most of the previous approaches of finding association rules a single minimum support threshold value is used for all the items or itemsets. But all the items in an itemset do not behave in the same way where some appear very frequently and some appear very rarely. Therefore the support requirements should vary with different items. Here we proposed new algorithm and was tested using different data sets to prove the advantages. The analysis showed that the proposed algorithm is easy and efficient and it saves time by focusing only on necessary associations comparing to existing algorithms.
Download or read book IEEE TENCON 2003 written by and published by Allied Publishers. This book was released on 2003 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Designing a Total Data Solution by : Roxanne Burkey
Download or read book Designing a Total Data Solution written by Roxanne Burkey and published by CRC Press. This book was released on 2000-09-28 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your company's global competitiveness depends on the utilization and maintenance of information. Current data handling practices-storing, updating, and accessing data-can be either a problem or a significant strategic advantage for your company. Designing a Total Data Storage Solution: Technology, Implementation, and Deployment gives you the inform
Book Synopsis Pattern Mining with Evolutionary Algorithms by : Sebastián Ventura
Download or read book Pattern Mining with Evolutionary Algorithms written by Sebastián Ventura and published by Springer. This book was released on 2016-06-13 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of the field of pattern mining with evolutionary algorithms. To do so, it covers formal definitions about patterns, patterns mining, type of patterns and the usefulness of patterns in the knowledge discovery process. As it is described within the book, the discovery process suffers from both high runtime and memory requirements, especially when high dimensional datasets are analyzed. To solve this issue, many pruning strategies have been developed. Nevertheless, with the growing interest in the storage of information, more and more datasets comprise such a dimensionality that the discovery of interesting patterns becomes a challenging process. In this regard, the use of evolutionary algorithms for mining pattern enables the computation capacity to be reduced, providing sufficiently good solutions. This book offers a survey on evolutionary computation with particular emphasis on genetic algorithms and genetic programming. Also included is an analysis of the set of quality measures most widely used in the field of pattern mining with evolutionary algorithms. This book serves as a review of the most important evolutionary algorithms for pattern mining. It considers the analysis of different algorithms for mining different type of patterns and relationships between patterns, such as frequent patterns, infrequent patterns, patterns defined in a continuous domain, or even positive and negative patterns. A completely new problem in the pattern mining field, mining of exceptional relationships between patterns, is discussed. In this problem the goal is to identify patterns which distribution is exceptionally different from the distribution in the complete set of data records. Finally, the book deals with the subgroup discovery task, a method to identify a subgroup of interesting patterns that is related to a dependent variable or target attribute. This subgroup of patterns satisfies two essential conditions: interpretability and interestingness.
Book Synopsis Engineering Psychology and Cognitive Ergonomics: Cognition and Design by : Don Harris
Download or read book Engineering Psychology and Cognitive Ergonomics: Cognition and Design written by Don Harris and published by Springer. This book was released on 2017-06-28 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 14th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2017, held in Vancouver, Canada, in July 2017. HCII 2017 received a total of 4340 submissions, of which 1228 papers were accepted for publication after a careful reviewing process. The papers thoroughly cover the entire field of Human-Computer Interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The two volumes set of EPCE 2017 presents 58 papers which are organized in the following topical sections: cognition and design, cognition in aviation and space, cognition and driving, mental workload and performance, psychological and emotional issues in interaction, situation awareness and control.
Book Synopsis Data Mining, Southeast Asia Edition by : Jiawei Han
Download or read book Data Mining, Southeast Asia Edition written by Jiawei Han and published by Elsevier. This book was released on 2006-04-06 with total page 772 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge. Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data— including stream data, sequence data, graph structured data, social network data, and multi-relational data. - A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business data - Updates that incorporate input from readers, changes in the field, and more material on statistics and machine learning - Dozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projects - Complete classroom support for instructors at www.mkp.com/datamining2e companion site
Book Synopsis Inductive Logic Programming by : Stephen Muggleton
Download or read book Inductive Logic Programming written by Stephen Muggleton and published by Springer. This book was released on 2007-09-20 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 16th International Conference on Inductive Logic Programming, ILP 2006, held in Santiago de Compostela, Spain, in August 2006. The papers address all current topics in inductive logic programming, ranging from theoretical and methodological issues to advanced applications.
Book Synopsis Encyclopedia of Data Warehousing and Mining, Second Edition by : Wang, John
Download or read book Encyclopedia of Data Warehousing and Mining, Second Edition written by Wang, John and published by IGI Global. This book was released on 2008-08-31 with total page 2542 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are more than one billion documents on the Web, with the count continually rising at a pace of over one million new documents per day. As information increases, the motivation and interest in data warehousing and mining research and practice remains high in organizational interest. The Encyclopedia of Data Warehousing and Mining, Second Edition, offers thorough exposure to the issues of importance in the rapidly changing field of data warehousing and mining. This essential reference source informs decision makers, problem solvers, and data mining specialists in business, academia, government, and other settings with over 300 entries on theories, methodologies, functionalities, and applications.
Author :Constantine Stephanidis Publisher :Springer Science & Business Media ISBN 13 :3642216560 Total Pages :702 pages Book Rating :4.6/5 (422 download)
Book Synopsis Universal Access in Human-Computer Interaction. Applications and Services by : Constantine Stephanidis
Download or read book Universal Access in Human-Computer Interaction. Applications and Services written by Constantine Stephanidis and published by Springer Science & Business Media. This book was released on 2011-06-24 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set LNCS 6765-6768 constitutes the refereed proceedings of the 6th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2011, held as Part of HCI International 2011, in Orlando, FL, USA, in July 2011, jointly with 10 other conferences addressing the latest research and development efforts and highlighting the human aspects of design and use of computing systems. The 72 revised papers included in the fourth volume were carefully reviewed and selected from numerous submissions. The papers are organized in the following topical sections: speech, communication and dialogue; interacting with documents and images; universal access to education and learning; well being, health and rehabilitation applications; and universal access in complex working environments.
Book Synopsis Big Data and Security by : Yuan Tian
Download or read book Big Data and Security written by Yuan Tian and published by Springer Nature. This book was released on with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012) Proceedings by : Ershi Qi
Download or read book International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012) Proceedings written by Ershi Qi and published by Springer Science & Business Media. This book was released on 2013-05-29 with total page 1666 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference on Industrial Engineering and Engineering Management is sponsored by the Chinese Industrial Engineering Institution, CMES, which is the only national-level academic society for Industrial Engineering. The conference is held annually as the major event in this arena. Being the largest and the most authoritative international academic conference held in China, it provides an academic platform for experts and entrepreneurs in the areas of international industrial engineering and management to exchange their research findings. Many experts in various fields from China and around the world gather together at the conference to review, exchange, summarize and promote their achievements in the fields of industrial engineering and engineering management. For example, some experts pay special attention to the current state of the application of related techniques in China as well as their future prospects, such as green product design, quality control and management, supply chain and logistics management to address the need for, amongst other things low-carbon, energy-saving and emission-reduction. They also offer opinions on the outlook for the development of related techniques. The proceedings offers impressive methods and concrete applications for experts from colleges and universities, research institutions and enterprises who are engaged in theoretical research into industrial engineering and engineering management and its applications. As all the papers are of great value from both an academic and a practical point of view, they also provide research data for international scholars who are investigating Chinese style enterprises and engineering management.
Book Synopsis Ontology Theory, Management and Design: Advanced Tools and Models by : Gargouri, Faiez
Download or read book Ontology Theory, Management and Design: Advanced Tools and Models written by Gargouri, Faiez and published by IGI Global. This book was released on 2010-04-30 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The focus of this book is on information and communication sciences, computer science, and artificial intelligence and provides readers with access to the latest knowledge related to design, modeling and implementation of ontologies"--Provided by publisher.
Book Synopsis Knowledge Management in Organizations by : Lorna Uden
Download or read book Knowledge Management in Organizations written by Lorna Uden and published by Springer. This book was released on 2015-08-03 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the refereed proceedings of the 10th International Conference on Knowledge Management in Organizations, KMO 2015, held in Maribor, Slovenia, in August 2015. The theme of the conference was "Knowledge Management and Internet of Things." The KMO conference brings together researchers and developers from industry and academia to discuss how knowledge management using big data can improve innovation and competitiveness. The 59 contributions accepted for KMO 2015 were selected from 163 submissions and are organized in topical sections on: knowledge management processes, successful knowledge sharing and knowledge management practices, innovations for competitiveness, knowledge management platforms and tools, social networks and mining techniques, knowledge management and the Internet of Things, knowledge management in health care, and knowledge management in education and research.
Book Synopsis Artificial Intelligence in Education by : Cristina Conati
Download or read book Artificial Intelligence in Education written by Cristina Conati and published by Springer. This book was released on 2015-06-16 with total page 955 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th International Conference on Artificial Intelligence in Education, AIED 2015, held in Madrid, Spain, in June 2015. The 50 revised full papers presented together with 3 keynotes, 79 poster presentations, 13 doctoral consortium papers, 16 workshop abstracts, and 8 interactive event papers were carefully reviewed and selected from numerous submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics, as well as many domain-specific areas.
Book Synopsis Application of Big Data, Blockchain, and Internet of Things for Education Informatization by : Yinjun Zhang
Download or read book Application of Big Data, Blockchain, and Internet of Things for Education Informatization written by Yinjun Zhang and published by Springer Nature. This book was released on with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Intelligent Techniques in Recommendation Systems: Contextual Advancements and New Methods by : Dehuri, Satchidananda
Download or read book Intelligent Techniques in Recommendation Systems: Contextual Advancements and New Methods written by Dehuri, Satchidananda and published by IGI Global. This book was released on 2012-11-30 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although recommendation systems have become a vital research area in the fields of cognitive science, approximation theory, information retrieval and management sciences, they still require improvements to make recommendation methods more effective and intelligent. Intelligent Techniques in Recommendation Systems: Contextual Advancements and New Methods is a comprehensive collection of research on the latest advancements of intelligence techniques and their application to recommendation systems and how this could improve this field of study.
Book Synopsis Simplified Machine Learning by : Dr. Pooja Sharma
Download or read book Simplified Machine Learning written by Dr. Pooja Sharma and published by BPB Publications. This book was released on 2024-06-15 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the world of Artificial Intelligence with a deep understanding of Machine Learning concepts and algorithms KEY FEATURES ● A detailed study of mathematical concepts, Machine Learning concepts, and techniques. ● Discusses methods for evaluating model performances and interpreting results. ● Explores all types of Machine Learning (supervised, unsupervised, reinforcement, association rule mining, artificial neural network) in detail. ● Comprises numerous review questions and programming exercises at the end of every chapter. DESCRIPTION "Simplified Machine Learning" is a comprehensive guide that navigates readers through the intricate landscape of Machine Learning, offering a balanced blend of theory, algorithms, and practical applications. The first section introduces foundational concepts such as supervised and unsupervised learning, regression, classification, clustering, and feature engineering, providing a solid base in Machine Learning theory. The second section explores algorithms like decision trees, support vector machines, and neural networks, explaining their functions, strengths, and limitations, with a special focus on deep learning, reinforcement learning, and ensemble methods. The book also covers essential topics like model evaluation, hyperparameter tuning, and model interpretability. The final section transitions from theory to practice, equipping readers with hands-on experience in deploying models, building scalable systems, and understanding ethical considerations. By the end, readers will be able to leverage Machine Learning effectively in their respective fields, armed with practical skills and a strategic approach to problem-solving. WHAT YOU WILL LEARN ● Solid foundation in Machine Learning principles, algorithms, and methodologies. ● Implementation of Machine Learning models using popular libraries like NumPy, Pandas, PyTorch, or scikit-learn. ● Knowledge about selecting appropriate models, evaluating their performance, and tuning hyperparameters. ● Techniques to pre-process and engineer features for Machine Learning models. ● To frame real-world problems as Machine Learning tasks and apply appropriate techniques to solve them. WHO THIS BOOK IS FOR This book is designed for a diverse audience interested in Machine Learning, a core branch of Artificial Intelligence. Its intellectual coverage will benefit students, programmers, researchers, educators, AI enthusiasts, software engineers, and data scientists. TABLE OF CONTENTS 1. Introduction to Machine Learning 2. Data Pre-processing 3. Supervised Learning: Regression 4. Supervised Learning: Classification 5. Unsupervised Learning: Clustering 6. Dimensionality Reduction and Feature Selection 7. Association Rule Mining 8. Artificial Neural Network 9. Reinforcement Learning 10. Project Appendix Bibliography
