Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Web sites --- Web sites --- Web usage mining --- Sites Web --- Sites Web --- Analyse du comportement des internautes (Informatique) --- Evaluation --- Design --- Evaluation --- Conception

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Digital libraries --- Electronic information resources --- Web usage mining. --- Bibliothèques virtuelles --- Sources d'information électroniques --- Analyse du comportement des internautes (Informatique) --- Collection development --- Statistical methods. --- Use studies --- Développement des collections --- Méthodes statistiques --- Utilisation --- Web usage mining --- Statistical methods --- Digital libraries - Collection development - Statistical methods --- Electronic information resources - Use studies

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book will inform and inspire librarians, archivists, curators and technologists to make better use of data to help inform decision-making, the development of new services and the improvement of the user experience. With the wealth of data available to library and cultural heritage institutions, analytics are the key to understanding their users and improving the systems and services they offer. Using case studies to provide real-life examples of current developments and services, and packed full of practical advice and guidance for libraries looking to realize the value of their data, this will be an essential guide for librarians and information professionals. Library Analytics and Metrics brings together a group of internationally recognized experts to explore some of the key issues in the exploitation of data analytics and metrics in the library and cultural heritage sectors, including: * The role of data in helping inform collections management and strategy * Approaches to collecting, analyzing and utilizing data * Using analytics to develop new services and improve the user experience * Using ethnographic methodologies to better understand user behaviours * The opportunities of library data as 'big data' * The role of 'small data' in delivering meaningful interventions for users * Practical advice on managing the risks and ethics of data analytics * How analytics can help uncover new types of impact and value for institutions and organizations. Readership: This book will be an invaluable resource for librarians and library directors interested in developing a data-driven approach to their service provision and decision making; students on library and information science courses; and managers and practitioners in other cultural heritage sectors such as museums, archives and galleries.

025:681.3 --- 025:681.3 Bibliotheekautomatisering --- Bibliotheekautomatisering --- Web usage mining. --- Library statistics. --- Analyse du comportement des internautes (Informatique) --- Bibliométrie --- Web usage mining --- Évaluation --- Library management --- Library research --- Libraries --- Library statistics --- Bibliometrics --- Bibliothèques --- Evaluation --- Statistiques --- Bibliometrics. --- Bibliothèques --- Bibliométrie --- Evaluation. --- Bibliométrie. --- Évaluation. --- Statistiques. --- Databases as Topic --- Library Services --- Internet --- Information Seeking Behavior --- Information Services --- Information Storage and Retrieval --- utilization --- statistics & numerical data --- Internet - utilization --- Information Services - statistics & numerical data --- Libraries - Evaluation --- Bibliométrie. --- Évaluation.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book brings together results from the Web search studies we conducted from 1997 through 2004. The aim of our studies has been twofold: to examine how the public at large searches the Web and to highlight trends in public Web searching. The eight-year period from 1997 to 2004 saw the beginnings and maturity of public Web searching. Commercial Web search engines have come and gone, or endured, through the fall of the dot.com companies. We saw the rise and, in some cases, the demise of several high profile, publicly available Web search engines. The study of the Web search is an exciting and important area of interdisciplinary research. Our book provides a valuable insight into the growth and development of human interaction with Web search engines. In this book, our focus is on the human aspect of the interaction between user and Web search engine. We do not investigate the Web search engines themselves or their constantly changing interfaces, algorithms and features. We focus on exploring the cognitive and user aspects of public Web searching in the aggregate. We use a variety of quantitative and qualitative methods within the overall methodology known as transaction log analysis.

Internet searching. --- Internet users. --- Web usage mining. --- Internet searching --- Internet users --- Web usage mining --- Library & Information Science --- Computer Science --- Social Sciences --- Engineering & Applied Sciences --- Information Technology --- Computer Science (Hardware & Networks) --- Analysis, Web usage --- Analytics, Web --- Mining, Web usage --- Web analytics --- Web usage analysis --- Web users --- World Wide Web users --- Searching the Internet --- Web searching --- World Wide Web searching --- Analyse du comportement des internautes (Informatique) --- Data mining --- Computer users --- Personal Internet use in the workplace --- Electronic information resource searching --- Recherche sur Internet --- Internautes --- EPUB-LIV-FT LIVINFOR SPRINGER-B

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The World Wide Web is a rich source of information about human behavior. It containslarge amount of data organizedvia interconnected Web pages,traces of information search, user feedback on items of interest, etc. In addition to large data volumes, one of the important characteristics of the Web is its dynamics, where content,structure and usagearechanging over time. This showsup in the rise of related research areas like communities of practice, knowledge mana- ment, Web communities, and peer-to-peer. In particular the notion of colla- rative work and thus the need of its systematic analysis become more and more important. For instance, to develop e?ective Web applications, it is essential to analyze patterns hidden in the usage of Web resources, their contents and their interconnections. Machine learning and data mining methods have been used extensively to ?nd patterns in usage of the network by exploiting both contents and link structures. We have investigated these topics in a series of workshops on Semantic Web Mining (2001, 2002) at the European Conference on Machine Learning / Pr- ciples and Practice of Knowledge Discovery from Databases (ECML/PKDD) conference series, in the selection of papers for the post-proceedings of the - ropean Web Mining Forum 2003 Workshop, published as the Springer LNAI volume 3209 “Web Mining: From Web to Semantic Web” in 2004, as well as in the Knowledge Discovery and Ontologies workshop in 2004 and in the selection ofpapersfor thepost-proceedingsofthe ECML/PKDD2005jointworkshopson Web Mining (European Web Mining Forum) and on Knowledge Discovery and.

Web usage mining --- Internet users --- Data mining --- World Wide Web (Information retrieval system) --- Internet searching --- Analyse du comportement des internautes (Informatique) --- Internautes --- Exploration de données (Informatique) --- World Wide Web (Système d'information) --- Recherche sur Internet --- Congresses --- Congrès --- World Wide Web --- Computer Science --- Library & Information Science --- Engineering & Applied Sciences --- Social Sciences --- Exploration de données (Informatique) --- World Wide Web (Système d'information) --- Congresses. --- Congrès --- EPUB-LIV-FT SPRINGER-B --- Analysis, Web usage --- Analytics, Web --- Mining, Web usage --- Web analytics --- Web usage analysis --- Web users --- World Wide Web users --- Searching the Internet --- Web searching --- World Wide Web searching --- Computer science. --- Computer communication systems. --- Database management. --- Data mining. --- Artificial intelligence. --- Computers and civilization. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Data Mining and Knowledge Discovery. --- Computer Communication Networks. --- Database Management. --- Information Systems Applications (incl. Internet). --- Computers and Society. --- Civilization and computers --- Civilization --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Informatics --- Science --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Distributed processing --- Computer users --- Personal Internet use in the workplace --- Electronic information resource searching --- Artificial Intelligence. --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software