主题分布
Data stream mining (68; 18%)
Data mining (51; 13%)
Exploratory data mining (41; 11%)
Distributed databases data mining (37; 10%)
Educational data mining (36; 9%)
Uncertain data mining (35; 9%)
Temporal data mining (34; 9%)
Data mining big data (34; 9%)
Data mining algorithm (32; 8%)
Computer science (13; 3%)
出版年分布
2025 (0; 0%)
2024 (0; 0%)
2023 (0; 0%)
2022 (1; 2%)
2021 (1; 2%)
2020 (4; 6%)
2019 (1; 2%)
2018 (4; 6%)
2017 (1; 2%)
2016 (9; 14%)
出版社分布
World Scientific Publishing Company (9; 20%)
Wiley (8; 18%)
IGI Global (7; 16%)
Elsevier Science_RM (5; 11%)
Forgotten Books (4; 9%)
Information Age Publishing, Inc. (4; 9%)
Auerbach Publications (3; 7%)
Scholars' Press (3; 7%)
Morgan Kaufmann_RM (2; 4%)
馆藏分布
牛津大学 (16; 17%)
芝加哥大学 (15; 16%)
加州大学伯克利分校 (14; 15%)
哥伦比亚大学 (13; 14%)
麻省理工大学 (9; 9%)
剑桥大学 (8; 8%)
哈佛大学 (8; 8%)
加州理工学院 (8; 8%)
康奈尔大学 (5; 5%)
Data stream mining
Data Mining Techniques in CRM -- Inside Customer Segmentation
客户关系管理数据采掘技术：客户细分内幕
Wiley Konstantinos K Tsiptsis Antonios Chorianopoulos
ISBN：9780470743973，出版年：2011，中图分类号：F2

This is an applied handbook for the application of data mining techniques in the CRM framework. It combines a technical and a business perspective to cover the needs of business users who are looking for a practical guide on data mining. It focuses on Customer Segmentation and presents guidelines for the development of actionable segmentation schemes. By using non-technical language it guides readers through all the phases of the data mining process.

Distributed databases data mining Data mining algorithm Multimedia data mining Data stream mining Data mining Data mining software Uncertain data mining Temporal data mining Data mining big data Exploratory data mining
Evolving Intelligent Systems -- Methodology and Applications
智能系统演进：方法与应用
Wiley Plamen Angelov Dimitar P Filev
ISBN：9780470287194，出版年：2010，中图分类号：TP3 被引 333次

From theory to techniques, the first all-in-one resource for EIS There is a clear demand in advanced process industries, defense, and Internet and communication (VoIP) applications for intelligent yet adaptive/evolving systems. Evolving Intelligent Systems is the first self- contained volume that covers this newly established concept in its entirety, from a systematic methodology to case studies to industrial applications. Featuring chapters written by leading world experts, it addresses the progress, trends, and major achievements in this emerging research field, with a strong emphasis on the balance between novel theoretical results and solutions and practical real-life applications. Explains the following fundamental approaches for developing evolving intelligent systems (EIS): the Hierarchical Prioritized Structure the Participatory Learning Paradigm the Evolving Takagi-Sugeno fuzzy systems (eTS+) the evolving clustering algorithm that stems from the well-known Gustafson-Kessel offline clustering algorithm Emphasizes the importance and increased interest in online processing of data streams Outlines the general strategy of using the fuzzy dynamic clustering as a foundation for evolvable information granulation Presents a methodology for developing robust and interpretable evolving fuzzy rule-based systems Introduces an integrated approach to incremental (real-time) feature extraction and classification Proposes a study on the stability of evolving neuro-fuzzy recurrent networks Details methodologies for evolving clustering and classification Reveals different applications of EIS to address real problems in areas of: evolving inferential sensors in chemical and petrochemical industry learning and recognition in robotics Features downloadable software resources Evolving Intelligent Systems is the one-stop reference guide for both theoretical and practical issues for computer scientists, engineers, researchers, applied mathematicians, machine learning and data mining experts, graduate students, and professionals.

Intelligent decision support system Cluster analysis Fuzzy rule The Internet Data stream mining Data science Fuzzy logic Computer science Software Fuzzy control system
Autonomous Learning Systems -- From Data Streams to Knowledge in Real-time
自主学习系统
Wiley Plamen Angelov
ISBN：9781119951520，出版年：2012，中图分类号：TP3 被引 156次

Autonomous Learning Systems is the result of over a decade of focused research and studies in this emerging area which spans a number of well-known and well-established disciplines that include machine learning, system identification, data mining, fuzzy logic, neural networks, neuro-fuzzy systems, control theory and pattern recognition. The evolution of these systems has been both industry-driven with an increasing demand from sectors such as defence and security, aerospace and advanced process industries, bio-medicine and intelligent transportation, as well as research-driven – there is a strong trend of innovation of all of the above well-established research disciplines that is linked to their on-line and real-time application; their adaptability and flexibility. Providing an introduction to the key technologies, detailed technical explanations of the methodology, and an illustration of the practical relevance of the approach with a wide range of applications, this book addresses the challenges of autonomous learning systems with a systematic approach that lays the foundations for a fast growing area of research that will underpin a range of technological applications vital to both industry and society.  Key features:  Presents the subject systematically from explaining the fundamentals to illustrating the proposed approach with numerous applications. Covers a wide range of applications in fields including unmanned vehicles/robotics, oil refineries, chemical industry, evolving user behaviour and activity recognition. Reviews traditional fields including clustering, classification, control, fault detection and anomaly detection, filtering and estimation through the prism of evolving and autonomously learning mechanisms. Accompanied by a website hosting additional material, including the software toolbox and lecture notes. Autonomous Learning Systems provides a ‘one-stop shop’ on the subject for academics, students, researchers and practicing engineers. It is also a valuable reference for Government agencies and software developers.

Data stream mining Computer science Machine learning Data science Artificial intelligence Autonomous learning
Fundamentals of Pervasive Information Management Systems
普适性信息管理系统基本原理 第2版
Wiley Vijay Kumar
ISBN：9781118024249，出版年：2013，中图分类号：TP3 被引 1次

PREFACE ix ACKNOWLEDGMENTS xvii 1 MOBILE DATABASE SYSTEM 1 2 MOBILE AND WIRELESS COMMUNICATION 7 3 LOCATION AND HANDOFF MANAGEMENT 44 4 FUNDAMENTALS OF DATABASE PROCESSING 61 5 INTRODUCTION TO CONCURRENCY CONTROL MECHANISMS 93 6 EFFECT OF MOBILITY ON DATA PROCESSING 112 7 TRANSACTION MANAGEMENT IN MOBILE DATABASE SYSTEMS 127 8 MOBILE DATABASE RECOVERY 219 9 WIRELESS INFORMATION DISSEMINATION 239 10 INTRODUCTION TO SENSOR TECHNOLOGY 299 11 SENSOR TECHNOLOGY AND DATA STREAMS MANAGEMENT 317 12 SENSOR NETWORK DEPLOYMENT: CASE STUDIES 348 GLOSSARY 361 INDEX 367

Mobile database Management information systems Concurrency control Wireless Handover Computer network Data stream mining Information Dissemination Database Data processing Computer science
Discovering Knowledge in Data -- An Introduction to Data Mining
数据知识发现：数据挖掘导论 第2版
Wiley Daniel T Larose Chantal D Larose
ISBN：9780470908747，出版年：2014，中图分类号：TP3

The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever before. This book provides the tools needed to thrive in today’s big data world. The author demonstrates how to leverage a company’s existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will “learn data mining by doing data mining”. By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, Discovering Knowledge in Data, Second Edition remains the eminent reference on data mining. The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications, predictive analytics, and statistical analysis. Includes new chapters on Multivariate Statistics, Preparing to Model the Data, and Imputation of Missing Data, and an Appendix on Data Summarization and Visualization Offers extensive coverage of the R statistical programming language Contains 280 end-of-chapter exercises Includes a companion website for university instructors who adopt the book

Exploratory data mining Uncertain data mining Educational data mining Data mining Information mining Distributed databases data mining Data mining big data Data mining algorithm Data stream mining Temporal data mining
Discovering Knowledge in Data -- An Introduction to Data Mining
在数据中发现知识
Wiley Daniel T Larose Chantal D Larose
ISBN：9780471687535，出版年：2014，中图分类号：TP3

The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever before. This book provides the tools needed to thrive in today’s big data world. The author demonstrates how to leverage a company’s existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will “learn data mining by doing data mining”. By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, Discovering Knowledge in Data, Second Edition remains the eminent reference on data mining. The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications, predictive analytics, and statistical analysis. Includes new chapters on Multivariate Statistics, Preparing to Model the Data, and Imputation of Missing Data, and an Appendix on Data Summarization and Visualization Offers extensive coverage of the R statistical programming language Contains 280 end-of-chapter exercises Includes a companion website for university instructors who adopt the book

Exploratory data mining Uncertain data mining Educational data mining Data mining Information mining Distributed databases data mining Data mining big data Data mining algorithm Data stream mining Temporal data mining
The Rocky Mountain Saints -- A Full and Complete History of the Mormons, From the First Vision of Joseph Smith to the Last Courtship of Brigham Young; The Story Op the Hand-Cart Emigration the Mormon War the Mountain-Meadow Massacre the Brign Op Terror in Utah the Doctrine Of
Forgotten Books T B H Stenhouse
ISBN：9781330798751，出版年：2016，中图分类号：K81

Notwithstanding the frequency with which the American press has kept the name of the Mormons before the public, few persons have any definite idea of what Mormonism claims to be, and what it actually is.

Wegener–Bergeron–Findeisen process Historical geographic information system Uncertain data mining Rock mass classification Educational data mining Data mining Information mining Temporal data mining Exploratory data mining Data stream mining
Discours de la Servitude Volontaire: Suivi du Mémoire Touchant l'Édit de Janvier 1562 (Inédit) Et d'une Lettre de M. Le Conseiller de Montaigne -- Suivi du Mémoire Touchant l'Édit de Janvier 1562 (Inédit) Et d'une Lettre de M. Le Conseiller de Montaigne
Forgotten Books Etienne de la Boetie
ISBN：9780243225361，出版年：2018，中图分类号：I1

Orléans, où La Boétie prit son grade de liceu cié en droit civil, le 23 septembre 1553, et acquit dans un milieu aussi docte que gêné reux l'information juridique nécessaire à un futur magistrat.

Data mining Lift (data mining) Temporal data mining Data memory Educational data mining Data mining algorithm Mountain range (options) Java Data Mining Data stream mining Exploratory data mining
The Mineral Resources of Hocking Valley -- Being an Account of Its Coals, Iron-Ores, Blast-Furnaces, and Railroads, With a Map
Forgotten Books T Sterry Hunt
ISBN：9781331964278，出版年：2016，中图分类号：P5

In discussing the questions of coal-mining and iron-smelting, I have called attention to some points connected with these subjects, which, although familiar to technical students, will, it is hoped, not be without value to others who may be interested in the region. With the same end in view, I have added some statistics with regard to coal and iron ores and the iron and steel manufactures of the country. For many of these I am indebted to Mr. Fred. E. Saward'a valuable manual, en titled The Coal Trade, for 1880, and to the excellent annual report for 1880, of Mr. James M. Swank, secretary to the American Iron and Steel Association. Readers will find that pages 7 3-86, including coal-analyses and many details connected with coal, are copied, with some additions and revisions, from my little treatise of 1874. Some notes with regard to clays and salt-wells, I have reserved for an Appendix, where also will be found a detailed inquiry into the dip of the strata, as deduced from observations on the Great Vein in different parts of the coal-field.

Mineral resource estimation Mining geology Data mining Data stream mining Mining engineering Geological materials Educational data mining Big data mining Geologic map Geological compass
The River of the West -- Life and Adventure in the Rocky Mountains and Oregon; Embracing Events in the Life-Time of a Mountain-Man and Pioneer: With the Early History of the North-Western Slope, Including as Account of the Fur Traders, the Indian Tribes, the Overland Immigration
西方之河
Forgotten Books Mrs Frances Fuller Victor
ISBN：9781331875253，出版年：2016，中图分类号：K81

When the author of this book has been absorbed in the elegant narratives of Washington Irving, reading and musing over Astoria and Bonneville, in the cozy quiet of a New York study, no prescient motion of the mind ever gave prophetic indication of that personal acquaintance which has since been formed with the scenes, and even with some of the characters which figure In the works just referred to. Yet so have events shaped themselves that to me Astoria is familiar ground, Forts Vancouver and Walla Walla pictured forever In my memory; while such journeys as I have been enabled to make into the country east of the last named fort, have given me a fair insight into the characteristic features of its mountains and its plains.

Family history taking Temporal data mining Event tracing Enterprise life cycle Data stream mining Unexpected events External trade Wegener–Bergeron–Findeisen process Impact survival Active flow control
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