Download or read book Advances in Data Mining Theoretical Aspects and Applications written by Petra Perner and published by Springer. This book was released on 2007-08-18 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers in this volume represent the proceedings of the 7th Industrial Conference on Data Mining. They are organized into topical sections on aspects of classification and prediction, clustering, web mining, data mining in medicine, applications of data mining, time series and frequent pattern mining, and association rule mining. Readers gain new insights into theories underlying data mining and discover state-of-the-technology applications.
Download or read book Applied Text Mining written by Usman Qamar and published by Springer Nature. This book was released on 2024 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook covers the concepts, theories, and implementations of text mining and natural language processing (NLP). It covers both the theory and the practical implementation, and every concept is explained with simple and easy-to-understand examples. It consists of three parts. In Part 1 which consists of three chapters details about basic concepts and applications of text mining are provided, including eg sentiment analysis and opinion mining. It builds a strong foundation for the reader in order to understand the remaining parts. In the five chapters of Part 2, all the core concepts of text analytics like feature engineering, text classification, text clustering, text summarization, topic mapping, and text visualization are covered. Finally, in Part 3 there are three chapters covering deep-learning-based text mining, which is the dominating method applied to practically all text mining tasks nowadays. Various deep learning approaches to text mining are covered, including models for processing and parsing text, for lexical analysis, and for machine translation. All three parts include large parts of Python code that shows the implementation of the described concepts and approaches. The textbook was specifically written to enable the teaching of both basic and advanced concepts from one single book. The implementation of every text mining task is carefully explained, based Python as the programming language and Spacy and NLTK as Natural Language Processing libraries. The book is suitable for both undergraduate and graduate students in computer science and engineering.
Download or read book Introduction to Data Mining for the Life Sciences written by Rob Sullivan and published by Springer Science & Business Media. This book was released on 2012-01-07 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining provides a set of new techniques to integrate, synthesize, and analyze tdata, uncovering the hidden patterns that exist within. Traditionally, techniques such as kernel learning methods, pattern recognition, and data mining, have been the domain of researchers in areas such as artificial intelligence, but leveraging these tools, techniques, and concepts against your data asset to identify problems early, understand interactions that exist and highlight previously unrealized relationships through the combination of these different disciplines can provide significant value for the investigator and her organization.
Download or read book Argument Mining written by Mathilde Janier and published by John Wiley & Sons. This book was released on 2019-12-12 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an introduction to the linguistic concepts of argumentation relevant for argument mining, an important research and development activity which can be viewed as a highly complex form of information retrieval, requiring high-level natural language processing technology. While the first four chapters develop the linguistic and conceptual aspects of argument expression, the last four are devoted to their application to argument mining. These chapters investigate the facets of argument annotation, as well as argument mining system architectures and evaluation. How annotations may be used to develop linguistic data and how to train learning algorithms is outlined. A simple implementation is then proposed. The book ends with an analysis of non-verbal argumentative discourse. Argument Mining is an introductory book for engineers or students of linguistics, artificial intelligence and natural language processing. Most, if not all, the concepts of argumentation crucial for argument mining are carefully introduced and illustrated in a simple manner.
Download or read book Optimization of Underground Mining written by Virginia Polytechnic Institute and State University. Department of Mining and Minerals Engineering and published by . This book was released on 1964* with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Optimization of Underground Mining written by Virginia Polytechnic Institute. Department of Mining Engineering and published by . This book was released on 1964 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Database Development and Management written by Lee Chao and published by CRC Press. This book was released on 2006-01-13 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today's database professionals must understand how to apply database systems to business processes and how to develop database systems for both business intelligence and Web-based applications. Database Development and Management explains all aspects of database design, access, implementation, application development, and management, as well
Download or read book Frictional Ignition with Coal Mining Bits written by Welby G. Courtney and published by . This book was released on 1990 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Utilizing Mechanical Linear Transducers for the Determination of a Mining Machine s Position and Heading written by Christopher C. Jobes and published by . This book was released on 1990 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook of Statistical Analysis and Data Mining Applications written by Robert Nisbet and published by Academic Press. This book was released on 2009-05-14 with total page 859 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions. - Written "By Practitioners for Practitioners" - Non-technical explanations build understanding without jargon and equations - Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models - Practical advice from successful real-world implementations - Includes extensive case studies, examples, MS PowerPoint slides and datasets - CD-DVD with valuable fully-working 90-day software included: "Complete Data Miner - QC-Miner - Text Miner" bound with book
Download or read book Decisions written by United States. Federal Mine Safety and Health Review Commission and published by . This book was released on 1997 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book International Press Correspondence written by and published by . This book was released on 1926 with total page 1696 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Quarrying Near Urban Areas written by United States. Bureau of Mines and published by . This book was released on 1979 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of the Uranium Mining and Milling Workshop written by James E. Olson and published by . This book was released on 1980 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Leader s Checklist Expanded Edition written by Michael Useem and published by University of Pennsylvania Press. This book was released on 2011-09-20 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Named to The Washington Post's 2011 List of Best Leadership Books In this fast-reading and illuminating expanded edition of the bestselling Leader's Checklist, world-renowned leadership expert Michael Useem deepens his examination of 15 mission-critical principles for leaders Based on the lessons from astonishing stories, solid research, and years of leadership development work with a wide array of companies and organizations in the United States and abroad, Useem presents today's leaders with 15 guiding principles that form the core of the Leader's Checklist, which will help you develop your ability to make good and timely decisions in unpredictable and stressful environments—for those moments when leadership really matters. To illustrate how the Leader's Checklist can assist leaders, Useem zeroes in on accounts of extraordinary leaders who rose to the challenge, including Laurence Golborne's role in the triumphant rescue of 33 miners in Chile, Joseph Pfeifer's remarkable heroism as the first FDNY Fire Chief to take command at the World Trade Center on September 11, 2001, and Union officer Joshua Lawrence Chamberlain's transformative actions after the Confederate army's surrender. He also explores the colossal failure of AIG, one of the greatest corporate collapses in business history. First published exclusively as an ebook—and now also available in print—this updated and expanded edition features a new preface by the author and three new Knowledge@Wharton interviews with Laurence Golborne, Chile's Minister of Mining, on leading the rescue operation of 33 miners trapped in the San José Mine; Joseph Pfeifer, New York City Fire Department's Chief of Counterterrorism and Emergency Preparedness, on being the first Battalion Chief to take command at the World Trade Center on September 11, 2001; and the author on why he wrote The Leader's Checklist and what he has learned about the most vital items on the checklist from his recent leadership development work with more than a dozen companies and organizations.
Download or read book Mining of Data with Complex Structures written by Fedja Hadzic and published by Springer. This book was released on 2011-02-03 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mining of Data with Complex Structures: - Clarifies the type and nature of data with complex structure including sequences, trees and graphs - Provides a detailed background of the state-of-the-art of sequence mining, tree mining and graph mining. - Defines the essential aspects of the tree mining problem: subtree types, support definitions, constraints. - Outlines the implementation issues one needs to consider when developing tree mining algorithms (enumeration strategies, data structures, etc.) - Details the Tree Model Guided (TMG) approach for tree mining and provides the mathematical model for the worst case estimate of complexity of mining ordered induced and embedded subtrees. - Explains the mechanism of the TMG framework for mining ordered/unordered induced/embedded and distance-constrained embedded subtrees. - Provides a detailed comparison of the different tree mining approaches highlighting the characteristics and benefits of each approach. - Overviews the implications and potential applications of tree mining in general knowledge management related tasks, and uses Web, health and bioinformatics related applications as case studies. - Details the extension of the TMG framework for sequence mining - Provides an overview of the future research direction with respect to technical extensions and application areas The primary audience is 3rd year, 4th year undergraduate students, Masters and PhD students and academics. The book can be used for both teaching and research. The secondary audiences are practitioners in industry, business, commerce, government and consortiums, alliances and partnerships to learn how to introduce and efficiently make use of the techniques for mining of data with complex structures into their applications. The scope of the book is both theoretical and practical and as such it will reach a broad market both within academia and industry. In addition, its subject matter is a rapidly emerging field that is critical for efficient analysis of knowledge stored in various domains.
Download or read book Data Mining Techniques written by Michael J. A. Berry and published by John Wiley & Sons. This book was released on 2004-04-14 with total page 671 pages. Available in PDF, EPUB and Kindle. Book excerpt: Packed with more than forty percent new and updated material,this edition shows business managers, marketing analysts, and datamining specialists how to harness fundamental data mining methodsand techniques to solve common types of business problems Each chapter covers a new data mining technique, and then showsreaders how to apply the technique for improved marketing, sales,and customer support The authors build on their reputation for concise, clear, andpractical explanations of complex concepts, making this book theperfect introduction to data mining More advanced chapters cover such topics as how to prepare datafor analysis and how to create the necessary infrastructure fordata mining Covers core data mining techniques, including decision trees,neural networks, collaborative filtering, association rules, linkanalysis, clustering, and survival analysis
