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Webkdd 2002 Mining Web Data For Discovering Usage Patterns And Profiles


Webkdd 2002 Mining Web Data For Discovering Usage Patterns And Profiles
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Webkdd 2002 Mining Web Data For Discovering Usage Patterns And Profiles


Webkdd 2002 Mining Web Data For Discovering Usage Patterns And Profiles
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Author : Osmar R. Zaiane
language : en
Publisher: Springer
Release Date : 2003-10-02

Webkdd 2002 Mining Web Data For Discovering Usage Patterns And Profiles written by Osmar R. Zaiane and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-10-02 with Computers categories.


1 WorkshopTheme Data mining as a discipline aims to relate the analysis of large amounts of user data to shed light on key business questions. Web usage mining in particular, a relatively young discipline, investigates methodologies and techniques that - dress the unique challenges of discovering insights from Web usage data, aiming toevaluateWebusability,understandtheinterestsandexpectationsofusersand assess the e?ectiveness of content delivery. The maturing and expanding Web presents a key driving force in the rapid growth of electronic commerce and a new channel for content providers. Customized o?ers and content, made possible by discovered knowledge about the customer, are fundamental for the establi- ment of viable e-commerce solutions and sustained and e?ective content delivery in noncommercial domains. Rich Web logs provide companies with data about their online visitors and prospective customers, allowing microsegmentation and personalized interactions. While Web mining as a domain is several years old, the challenges that characterize data analysis in this area continue to be formidable. Though p- processing data routinely takes up a major part of the e?ort in data mining, Web usage data presents further challenges based on the di?culties of assigning data streams to unique users and tracking them over time. New innovations are required to reliably reconstruct sessions, to ascertain similarity and di?erences between sessions, and to be able to segment online users into relevant groups.



Webkdd 2001 Mining Web Log Data Across All Customers Touch Points


Webkdd 2001 Mining Web Log Data Across All Customers Touch Points
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Author : Ron Kohavi
language : en
Publisher: Springer
Release Date : 2003-08-02

Webkdd 2001 Mining Web Log Data Across All Customers Touch Points written by Ron Kohavi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-02 with Computers categories.


WorkshopTheme The ease and speed with which business transactions can be carried out over the Web has been a key driving force in the rapid growth of electronic commerce. In addition, customer interactions, including personalized content, e-mail c- paigns, and online feedback provide new channels of communication that were not previously available or were very ine?cient. The Web presents a key driving force in the rapid growth of electronic c- merceandanewchannelforcontentproviders.Knowledgeaboutthecustomeris fundamental for the establishment of viable e-commerce solutions. Rich web logs provide companies with data about their customers and prospective customers, allowing micro-segmentation and personalized interactions. Customer acqui- tion costs in the hundreds of dollars per customer are common, justifying heavy emphasis on correct targeting. Once customers are acquired, customer retention becomes the target. Retention through customer satisfaction and loyalty can be greatly improved by acquiring and exploiting knowledge about these customers and their needs. Althoughweblogsarethesourceforvaluableknowledgepatterns,oneshould keep in mind that the Web is only one of the interaction channels between a company and its customers. Data obtained from conventional channels provide invaluable knowledge on existing market segments, while mobile communication adds further customer groups. In response, companies are beginning to integrate multiple sources of data including web, wireless, call centers, and brick-a- mortar store data into a single data warehouse that provides a multifaceted view of their customers, their preferences, interests, and expectations.



Advances In Web Mining And Web Usage Analysis


Advances In Web Mining And Web Usage Analysis
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Author : Olfa Nasraoui
language : en
Publisher: Springer
Release Date : 2007-12-07

Advances In Web Mining And Web Usage Analysis written by Olfa Nasraoui and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-07 with Computers categories.


Web mining and usage is a fast-moving and hugely important field of study. This new Springer text constitutes the thoroughly refereed post-proceedings of the 8th International Workshop on Mining Web Data, WEBKDD 2006, held in Philadelphia, USA in 2006. The 13 revised full papers presented together with a detailed preface went through two rounds of reviewing and improvement and were carefully selected for inclusion in the book. They cover a huge range of relevant topics.



The Adaptive Web


The Adaptive Web
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Author : Peter Brusilovski
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-04-24

The Adaptive Web written by Peter Brusilovski 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 2007-04-24 with Computers categories.


This state-of-the-art survey provides a systematic overview of the ideas and techniques of the adaptive Web and serves as a central source of information for researchers, practitioners, and students. The volume constitutes a comprehensive and carefully planned collection of chapters that map out the most important areas of the adaptive Web, each solicited from the experts and leaders in the field.



Advanced Methods For Knowledge Discovery From Complex Data


Advanced Methods For Knowledge Discovery From Complex Data
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Author : Ujjwal Maulik
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-05-06

Advanced Methods For Knowledge Discovery From Complex Data written by Ujjwal Maulik 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 2006-05-06 with Computers categories.


The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?c and engineering research and the development of e?cient data collection tools. This has given rise to the need for automa- callyanalyzingthedatainordertoextractknowledgefromit,therebymaking the data potentially more useful. Knowledge discovery and data mining (KDD) is the process of identifying valid, novel, potentially useful and ultimately understandable patterns from massive data repositories. It is a multi-disciplinary topic, drawing from s- eral ?elds including expert systems, machine learning, intelligent databases, knowledge acquisition, case-based reasoning, pattern recognition and stat- tics. Many data mining systems have typically evolved around well-organized database systems (e.g., relational databases) containing relevant information. But, more and more, one ?nds relevant information hidden in unstructured text and in other complex forms. Mining in the domains of the world-wide web, bioinformatics, geoscienti?c data, and spatial and temporal applications comprise some illustrative examples in this regard. Discovery of knowledge, or potentially useful patterns, from such complex data often requires the - plication of advanced techniques that are better able to exploit the nature and representation of the data. Such advanced methods include, among o- ers, graph-based and tree-based approaches to relational learning, sequence mining, link-based classi?cation, Bayesian networks, hidden Markov models, neural networks, kernel-based methods, evolutionary algorithms, rough sets and fuzzy logic, and hybrid systems. Many of these methods are developed in the following chapters.



Proceedings Of The International Congress On Information And Communication Technology


Proceedings Of The International Congress On Information And Communication Technology
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Author : Suresh Chandra Satapathy
language : en
Publisher: Springer
Release Date : 2016-06-04

Proceedings Of The International Congress On Information And Communication Technology written by Suresh Chandra Satapathy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-04 with Technology & Engineering categories.


This volume contains 69 papers presented at ICICT 2015: International Congress on Information and Communication Technology. The conference was held during 9th and 10th October, 2015, Udaipur, India and organized by CSI Udaipur Chapter, Division IV, SIG-WNS, SIG-e-Agriculture in association with ACM Udaipur Professional Chapter, The Institution of Engineers (India), Udaipur Local Centre and Mining Engineers Association of India, Rajasthan Udaipur Chapter. This volume contains papers mainly focused on ICT for Managerial Applications, E-governance, IOT and E-Mining.



Web Usage Analysis And User Profiling


Web Usage Analysis And User Profiling
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Author : Brij Masand
language : en
Publisher: Springer Science & Business Media
Release Date : 2000-07-26

Web Usage Analysis And User Profiling written by Brij Masand 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 2000-07-26 with Computers categories.


After the advent of data mining and its successful application on conventional data, Web-related information has been an appropriate and increasingly popular target of knowledge discovery. Depending on whether the data used in the knowledge discovery process concerns the Web itself in terms of content or the usage of the content, one distinguishes between Web content mining and Web usage mining. This book is the first one entirely devoted to Web usage mining. It originates from the WEBKDD'99 Workshop held during the 1999 KDD Conference. The ten revised full papers presented together with an introductory survey by the volume editors documents the state of the art in this exciting new area. The book presents topical sections on Modeling the User, Discovering Rules and Patterns of Navigation, and Measuring interestingness in Web Usage Mining.



Webkdd 2002 Mining Web Data For Discovering Usage Patterns And Profiles


Webkdd 2002 Mining Web Data For Discovering Usage Patterns And Profiles
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Author : Osmar Zaïane
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-10-13

Webkdd 2002 Mining Web Data For Discovering Usage Patterns And Profiles written by Osmar Zaïane 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 2003-10-13 with Computers categories.


This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Mining Web Data, WEBKDD 2002, held in Edmonton, Canada, in July 2002. The 10 revised full papers presented together with a detailed preface went through two rounds of reviewing and improvement and were selected from 23 submissions. The papers are organized in topical sections on categorization of users and usage, prediction and recommendation, and evaluation of algorithms.



Context Mediation Among Knowledge Discovery Components


Context Mediation Among Knowledge Discovery Components
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Author : Alex Büchner
language : en
Publisher: Universal-Publishers
Release Date : 2004-05

Context Mediation Among Knowledge Discovery Components written by Alex Büchner and has been published by Universal-Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05 with Language Arts & Disciplines categories.


Context Mediation is a field of research that is concerned with the interchange of information across different environments, which provides a vehicle to bridge semantic gaps among disparate entities. Knowledge Discovery is concerned with the extraction of actionable information from large databases. A challenge that has received relatively little attention is knowledge discovery in a highly disparate environment, that is multiple heterogeneous data sources, multiple domain knowledge sources and multiple knowledge patterns. This thesis tackles the problem of semantic interoperability among data, domain knowledge and knowledge patterns in a knowledge discovery process using context mediation. All presented techniques, methods and models are applied in real-world scenarios, covering disciplines from a wide range of industry, namely web mining and marketing, manufacturing, meteorology and internationalisation. When feasible, industry standards were utilised, for instance ODMG, PMML and KQML. The carried out research has resulted in almost fifty international publications, including the co-authorship of a book, a journal editorship and one conference best paper award.



Encyclopedia Of Information Science And Technology Second Edition


Encyclopedia Of Information Science And Technology Second Edition
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Author : Khosrow-Pour, D.B.A., Mehdi
language : en
Publisher: IGI Global
Release Date : 2008-10-31

Encyclopedia Of Information Science And Technology Second Edition written by Khosrow-Pour, D.B.A., Mehdi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-31 with Business & Economics categories.


"This set of books represents a detailed compendium of authoritative, research-based entries that define the contemporary state of knowledge on technology"--Provided by publisher.