Event Mining
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Event Mining
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Author : Tao Li
language : en
Publisher: CRC Press
Release Date : 2015-10-15
Event Mining written by Tao Li and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-15 with Business & Economics categories.
Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log data. The field, therefore, plays an important role in data-driven system management. Event Mining: Algorithms and Applications presents state-of-the-art event mining approaches and applications with a focus on computing sys
Event Mining
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Author : Tao Li
language : en
Publisher:
Release Date : 2015
Event Mining written by Tao Li and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Event Mining For Explanatory Modeling
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Author : Laleh Jalali
language : en
Publisher: Morgan & Claypool
Release Date : 2021-05-21
Event Mining For Explanatory Modeling written by Laleh Jalali and has been published by Morgan & Claypool this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-21 with Computers categories.
This book introduces the concept of Event Mining for building explanatory models from analyses of correlated data. Such a model may be used as the basis for predictions and corrective actions. The idea is to create, via an iterative process, a model that explains causal relationships in the form of structural and temporal patterns in the data. The first phase is the data-driven process of hypothesis formation, requiring the analysis of large amounts of data to find strong candidate hypotheses. The second phase is hypothesis testing, wherein a domain expert’s knowledge and judgment is used to test and modify the candidate hypotheses. The book is intended as a primer on Event Mining for data-enthusiasts and information professionals interested in employing these event-based data analysis techniques in diverse applications. The reader is introduced to frameworks for temporal knowledge representation and reasoning, as well as temporal data mining and pattern discovery. Also discussed are the design principles of event mining systems. The approach is reified by the presentation of an event mining system called EventMiner, a computational framework for building explanatory models. The book contains case studies of using EventMiner in asthma risk management and an architecture for the objective self. The text can be used by researchers interested in harnessing the value of heterogeneous big data for designing explanatory event-based models in diverse application areas such as healthcare, biological data analytics, predictive maintenance of systems, computer networks, and business intelligence.
Methodologies For Knowledge Discovery And Data Mining
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Author : Ning Zhong
language : en
Publisher: Springer Science & Business Media
Release Date : 1999-04-14
Methodologies For Knowledge Discovery And Data Mining written by Ning Zhong 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 1999-04-14 with Computers categories.
This book constitutes the refereed proceedings of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD '99, held in Beijing, China, in April 1999. The 29 revised full papers presented together with 37 short papers were carefully selected from a total of 158 submissions. The book is divided into sections on emerging KDD technology; association rules; feature selection and generation; mining in semi-unstructured data; interestingness, surprisingness, and exceptions; rough sets, fuzzy logic, and neural networks; induction, classification, and clustering; visualization; causal models and graph-based methods; agent-based and distributed data mining; and advanced topics and new methodologies.
Mining Environmental Handbook
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Author : Jerrold J Marcus
language : en
Publisher: World Scientific
Release Date : 1997-05-03
Mining Environmental Handbook written by Jerrold J Marcus and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-05-03 with categories.
Negative environmental events make the headlines. Mining industry examples are the recent incidents at Summitville, Colorado, US, and the cyanide leak at Cambria Resource's Omai Operation in Guyana. In this volatile atmosphere, the publication of the Mining Environmental Handbook comes at an opportune time. It presents an objective, comprehensive and integrated examination of the effects of mining on the environment, and the environmental laws that deal with mining. Though stressing activities in the United States of America, it covers all of North America. North American environmental standards are currently being exported around the world. Consequently, this handbook will be of prime interest in countries that are now coming to terms with mining environmentalism. It should benefit working engineers and environmentalists, manufacturers, legislators, regulators, financiers and journalists. It has been selected as a university textbook. Finally, it will be an indispensable reference during serious discussions about mining environmentalism. Contents: Development of the Mine Environmental Precept and Its Current Political StatusThe Legal Bases of Federal Environmental Control of MiningEnvironmental Control at the State LevelEnvironmental Effects of MiningTechnologies for Environmental ProtectionEnvironmental PermittingSystems Design for Site Specific Environmental ProtectionOperations Environmental ManagementSolution Mining and In-Situ LeachingPlacer or Alluvial MiningCoalAcid Mine Drainage and Other Mining-Influenced Waters (MIW)Uses of Mines as Landfills and RepositoriesEconomic Impact of Current Environmental Regulations on MiningFinancial Assurances for Corrective Actions, Closure and Post ClosureInternational Environmental Control of MiningEnvironmental Case Studies from the Hard Rock IndustryCurrent and Projected IssuesDirectory of State Regulatory AgenciesGlossaryIndex Readership: Engineers, environmentalists and geologists. Keywords:History;Legal Aspects;Problems;Technology;Permitting;Case Studies;Economic ImpactReviews:“… is a useful, and very readable, first point of reference for those needing to have a general overview of the various environmental issues arising from mining and mineral processing … There is much to commend the book to wider international use, as it contains a considerable amount of universal 'best practice' which can be applied to mining situations in most countries seeking to adopt credible western standards.”MININGtechnology
Advances In Knowledge Discovery And Data Mining
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Author : Kyu-Young Whang
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-04-16
Advances In Knowledge Discovery And Data Mining written by Kyu-Young Whang 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 2003-04-16 with Business & Economics categories.
This book constitutes the refereed proceedings of the 7th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2003, held in Seoul, Korea in April/Mai 2003. The 38 revised full papers and 20 revised short papers presented together with two invited industrial contributions were carefully reviewed and selected from 215 submissions. The papers are presented in topical sections on stream mining, graph mining, clustering, text mining, Bayesian networks, association rules, semi-structured data mining, classification, data analysis, and feature selection.
Process Mining In Healthcare
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Author : Ronny S. Mans
language : en
Publisher: Springer
Release Date : 2015-03-12
Process Mining In Healthcare written by Ronny S. Mans and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-12 with Computers categories.
What are the possibilities for process mining in hospitals? In this book the authors provide an answer to this question by presenting a healthcare reference model that outlines all the different classes of data that are potentially available for process mining in healthcare and the relationships between them. Subsequently, based on this reference model, they explain the application opportunities for process mining in this domain and discuss the various kinds of analyses that can be performed. They focus on organizational healthcare processes rather than medical treatment processes. The combination of event data and process mining techniques allows them to analyze the operational processes within a hospital based on facts, thus providing a solid basis for managing and improving processes within hospitals. To this end, they also explicitly elaborate on data quality issues that are relevant for the data aspects of the healthcare reference model. This book mainly targets advanced professionals involved in areas related to business process management, business intelligence, data mining, and business process redesign for healthcare systems as well as graduate students specializing in healthcare information systems and process analysis.
Advances In Knowledge Discovery And Data Mining
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Author : Honghua Dai
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-05-11
Advances In Knowledge Discovery And Data Mining written by Honghua Dai 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 2004-05-11 with Business & Economics categories.
This book constitutes the refereed proceedings of the 8th Pacific-Asia Conference on Knowledge Discovery and Data mining, PAKDD 2004, held in Sydney, Australia in May 2004. The 50 revised full papers and 31 revised short papers presented were carefully reviewed and selected from a total of 238 submissions. The papers are organized in topical sections on classification; clustering; association rules; novel algorithms; event mining, anomaly detection, and intrusion detection; ensemble learning; Bayesian network and graph mining; text mining; multimedia mining; text mining and Web mining; statistical methods, sequential data mining, and time series mining; and biomedical data mining.
Mining Of Data With Complex Structures
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Author : Fedja Hadzic
language : en
Publisher: Springer
Release Date : 2011-02-03
Mining Of Data With Complex Structures written by Fedja Hadzic and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-03 with Computers categories.
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.
Data Mining
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Author : Yee Ling Boo
language : en
Publisher: Springer
Release Date : 2018-04-13
Data Mining written by Yee Ling Boo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-13 with Computers categories.
This book constitutes the refereed proceedings of the 15th Australasian Conference on Data Mining, AusDM 2017, held in Melbourne, VIC, Australia, in August 2017. The 17 revised full papers presented together with 11 research track papers and 6 application track papers were carefully reviewed and selected from 31 submissions. The papers are organized in topical sections on clustering and classification; big data; time series; outlier detection and applications; social media and applications.