web data mining data centric systems and applications

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Web Data Mining

Author : Bing Liu
ISBN : 3642194605
Genre : Computers
File Size : 87. 24 MB
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Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.

Advances In Data Mining Applications And Theoretical Aspects

Author : Petra Perner
ISBN : 9783642030673
Genre : Computers
File Size : 74. 69 MB
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This volume comprises the proceedings of the Industrial Conference on Data Mining (ICDM 2009) held in Leipzig (www.data-mining-forum.de). For this edition the Program Committee received 130 submissions. After the pe- review process, we accepted 32 high-quality papers for oral presentation that are included in this book. The topics range from theoretical aspects of data mining to app- cations of data mining, such as on multimedia data, in marketing, finance and telec- munication, in medicine and agriculture, and in process control, industry and society. Ten papers were selected for poster presentations that are published in the ICDM Poster Proceedings Volume by ibai-publishing (www.ibai-publishing.org). In conjunction with ICDM two workshops were run focusing on special hot app- cation-oriented topics in data mining. The workshop Data Mining in Marketing DMM 2009 was run for the second time. The papers are published in a separate workshop book “Advances in Data Mining on Markting” by ibai-publishing (www.ibai-publishing.org). The Workshop on Case-Based Reasoning for Multimedia Data CBR-MD ran for the second year. The papers are published in a special issue of the International Journal of Transactios on Case-Based Reasoning (www.ibai-publishing.org/journal/cbr).

Data Quality

Author : Carlo Batini
ISBN : 9783540331735
Genre : Computers
File Size : 62. 13 MB
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Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to major public initiatives like the "Data Quality Act" in the USA and the "European 2003/98" directive of the European Parliament. Batini and Scannapieco present a comprehensive and systematic introduction to the wide set of issues related to data quality. They start with a detailed description of different data quality dimensions, like accuracy, completeness, and consistency, and their importance in different types of data, like federated data, web data, or time-dependent data, and in different data categories classified according to frequency of change, like stable, long-term, and frequently changing data. The book's extensive description of techniques and methodologies from core data quality research as well as from related fields like data mining, probability theory, statistical data analysis, and machine learning gives an excellent overview of the current state of the art. The presentation is completed by a short description and critical comparison of tools and practical methodologies, which will help readers to resolve their own quality problems. This book is an ideal combination of the soundness of theoretical foundations and the applicability of practical approaches. It is ideally suited for everyone – researchers, students, or professionals – interested in a comprehensive overview of data quality issues. In addition, it will serve as the basis for an introductory course or for self-study on this topic.

A User Acceptance Of Web Personalization Systems

Author : Dr. Fendi Ameen
Genre : Computers
File Size : 77. 27 MB
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Research on web personalization techniques for collecting and analysing web data in order to deliver personalized information to users is in an advanced state. Many metrics from the computational intelligence field have been developed to evaluate the algorithmic performance of Web Personalization Systems (WPSs). However, measuring the success of a WPS in terms of user acceptance is difficult until the WPS is deployed in practice. In summary, many techniques exist for delivering personalized information to a user, but a comprehensive measure of the success in WPSs in terms of human interaction and behaviour does not exist. This study aims to develop a framework for measuring user acceptance of WPSs from a user perspective. The proposed framework is based on the unified theory of acceptance and use of technology (UTAUT). The antecedents of user accep- tance are described by indicators based on four key constructs, i.e. performance expectancy (PE), effort expectancy (EE), social influence (SI), and facilitating conditions (FC). All these constructs are underpinned by Information Systems (IS) theories that determine the intention to use (BI) and the actual use (USE) of a technology. A user acceptance model was proposed and validated using structural equation modelling (SEM) via the partial least squares path modelling (PLS-PM). Four user characteristics (i.e. gender, age, skill and experience) have been chosen for testing the moderating effects of the four constructs. The relationship between the four constructs in regard to BI and USE has been validated through moderating effects, in order to present an overall view of the extent of user acceptance of a WPS. Results from response data analysis show that the acceptance of a WPS is deter- mined through PE, EE SI, and FC. The gender of a user was found to moderate the relationship between performance expectancy of a WPS and their behavioural intention in using a WPS. The effect of behavioural intention on the use of WPS is higher for a group of females than for males. Furthermore, the proposed model has been tested and validated for its explanation power of the model and effect size. The current study concluded that predictive relevance of intention to use a WPS is more effective than the actual WPS usage, which indicated that intention to use has more prediction power for describing a user acceptance of a WPS. The implications of these measures from the computational intelligent point of view are useful when a WPS is implemented. For example, the designer of a WPS should consider personalized design features that enable the delivery of relevant information, sharing to other users, and accessibility across many platforms, Such features create a better web experience and a complete security policy. These measures can be utilized to obtain a higher attention rate and continued use by a user; the features that define user acceptance of a WPS.

Data Mining

Author : Bhavani Thuraisingham
ISBN : 9781482252507
Genre : Computers
File Size : 23. 34 MB
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Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges. Three parts divide Data Mining: Part I describes technologies for data mining - database systems, warehousing, machine learning, visualization, decision support, statistics, parallel processing, and architectural support for data mining Part II presents tools and techniques - getting the data ready, carrying out the mining, pruning the results, evaluating outcomes, defining specific approaches, examining a specific technique based on logic programming, and citing literature and vendors for up-to-date information Part III examines emerging trends - mining distributed and heterogeneous data sources; multimedia data, such as text, images, video; mining data on the World Wide Web; metadata aspects of mining; and privacy issues. This self-contained book also contains two appendices providing exceptional information on technologies, such as data management, and artificial intelligence. Is there a need for mining? Do you have the right tools? Do you have the people to do the work? Do you have sufficient funds allocated to the project? All these answers must be answered before embarking on a project. Data Mining provides singular guidance on appropriate applications for specific techniques as well as thoroughly assesses valuable product information.

Web Technologies

Author : Arthur Tatnall
ISBN : 9781605669823
Genre : Computers
File Size : 57. 81 MB
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With the technological advancement of mobile devices, social networking, and electronic services, Web technologies continues to play an ever-growing part of the global way of life, incorporated into cultural, economical, and organizational levels. Web Technologies: Concepts, Methodologies, Tools, and Applications (4 Volume) provides a comprehensive depiction of current and future trends in support of the evolution of Web information systems, Web applications, and the Internet. Through coverage of the latest models, concepts, and architectures, this multiple-volume reference supplies audiences with an authoritative source of information and direction for the further development of the Internet and Web-based phenomena.

Artificial Immune Systems

Author : Scotland) ICARIS 2003 (2003 : Edinburgh
ISBN : 3540407669
Genre : Computers
File Size : 65. 35 MB
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This book constitutes the refereed proceedings of the Second International Conference on Artificial Immune Systems, ICARIS 2003, held in Edinburgh, UK in September 2003. The 27 revised full papers presented were carefully reviewed and selected from 41 submissions. The book presents the first coherent account of the state of the art in artificial immune systems reserch. The papers are organized in topical sections on applications of artificial immune systems, immunocomputing, emerging metaphors, augmentation of artificial immune systems algorithms, theory of artificial immune systems, and representations and operators.

Transportation And Information

Author : Piyushimita Vonu Thakuriah
ISBN : UCBK:C101992282
Genre : Computers
File Size : 80. 8 MB
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Transformations in wireless connectivity and location-aware technologies hold the promise of bringing a sea-change in the way transportation information is generated and used in the future. Sensors in the transportation system, when integrated with those in other sectors (for example, energy, utility and health) have the potential to foster novel new ways of improving livability and sustainability. The end-result of these developments has been somewhat contradictory. Although automation in the transportation environment has become increasingly widespread, the level of involvement and active participation by people, in terms of co-creation and contribution of information, has also increased. As a result, the following two major trends have been observed: (1) increases in Machine-to- Machine (M2M) communications; and (2) increases in the variety and volume of User-Generated Content. In this transportation paradigm, the pervasive use of Information and Communication Technologies will serve as the foundation for mobility intelligence towards an “ubiquitous information-centered mobility environment”. However, many technical and operational questions, as well as social, management and legal challenges present themselves in the transformation to this vision. The book presents a non-technical review of research and initiatives and a discussion of such opportunities and challenges.

Net Centric Approaches To Intelligence And National Security

Author : Roy Ladner
ISBN : 9780387261768
Genre : Computers
File Size : 45. 53 MB
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The development of net-centric approaches for intelligence and national security applications has become a major concern in many areas such as defense, intelligence and national and international law enforcement agencies. In this volume we consider the web architectures and recent developments that make n- centric approaches for intelligence and national security possible. These include developments in information integration and recent advances in web services including the concept of the semantic web. Discovery, analysis and management of web-available data pose a number of interesting challenges for research in w- based management systems. Intelligent agents and data mining are some of the techniques that can be employed. A number of specific systems that are net-centric based in various areas of military applications, intelligence and law enforcement are presented that utilize one or more of such techniques The opening chapter overviews the concepts related to ontologies which now form much of the basis of the possibility of sharing of information in the Semantic Web. In the next chapter an overview of Web Services and examples of the use of Web Services for net-centric operations as applied to meteorological and oceanographic (MetOc) data is presented and issues related to the Navy's use of MetOc Web Services are discussed. The third chapter focuses on metadata as conceived to support the concepts of a service-oriented architecture and, in particular, as it relates to the DoD Net-Centric Data Strategy and the NCES core services.

Advanced Data Mining And Applications

Author : Jie Tang
ISBN : 9783642258527
Genre : Computers
File Size : 70. 40 MB
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The two-volume set LNAI 7120 and LNAI 7121 constitutes the refereed proceedings of the 7th International Conference on Advanced Data Mining and Applications, ADMA 2011, held in Beijing, China, in December 2011. The 35 revised full papers and 29 short papers presented together with 3 keynote speeches were carefully reviewed and selected from 191 submissions. The papers cover a wide range of topics presenting original research findings in data mining, spanning applications, algorithms, software and systems, and applied disciplines.

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