Catalogue Bibliothèque de L'IMIST/CNRST › Résultats de la recherche pour 'ccl=su:SCIENCE and su-to:Computer science'

		Data streams : models and algorithms. Publication : [S.l.] : Springer, 2006 . 358 p. ; , Data Streams: Models and Algorithms primarily discusses issues related to the mining aspects of data streams. Recent progress in hardware technology makes it possible for organizations to store and record large streams of transactional data. For example, even simple daily transactions such as using the credit card or phone result in automated data storage, which brings us to a fairly new topic called data streams. This volume covers mining aspects of data streams comprehensively: each contributed chapter contains a survey on the topic, the key ideas in the field for that particular topic, and future research directions. Data Streams: Models and Algorithms is intended for a professional audience composed of researchers and practitioners in industry. This book is also appropriate for advanced-level students in computer science. 24 cm. Date : 2006 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1), Réserver Ajouter au panier (Supprimer)
		Graphics of large datasets : visualizing a million / par Unwin, Antony. Publication : [S.l.] : Springer, 2006 . 271 p. ; , Graphics are great for exploring data, but how can they be used for looking at the large datasets that are commonplace to-day? This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases or large in numbers of variables or large in both. Data visualization is useful for data cleaning, exploring data, identifying trends and clusters, spotting local patterns, evaluating modeling output, and presenting results. It is essential for exploratory data analysis and data mining. Data analysts, statisticians, computer scientists-indeed anyone who has to explore a large dataset of their own-should benefit from reading this book. New approaches to graphics are needed to visualize the information in large datasets and most of the innovations described in this book are developments of standard graphics. There are considerable advantages in extending displays which are well-known and well-tried, both in understanding how best to make use of them in your work and in presenting results to others. It should also make the book readily accessible for readers who already have a little experience of drawing statistical graphics. All ideas are illustrated with displays from analyses of real datasets and the authors emphasize the importance of interpreting displays effectively. Graphics should be drawn to convey information and the book includes many insightful examples. From the reviews: "Anyone interested in modern techniques for visualizing data will be well rewarded by reading this book. There is a wealth of important plotting types and techniques." Paul Murrell for the Journal of Statistical Software, December 2006 "This fascinating book looks at the question of visualizing large datasets from many different perspectives. Different authors are responsible for different chapters and this approach works well in giving the reader alternative viewpoints of the same problem. Interestingly the authors have cleverly chosen a definition of 'large dataset'. Essentially they focus on datasets with the order of a million cases. As the authors point out there are now many examples of much larger datasets but by limiting to ones that can be loaded in their entirety in standard statistical software they end up with a book that has great utility to the practitioner rather than just the theorist. Another very attractive feature of the book is the many colour plates, showing clearly what can now routinely be seen on the computer screen. The interactive nature of data analysis with large datasets is hard to reproduce in a book but the authors make an excellent attempt to do just this." P. Marriott for the Short Book Reviews of the ISI. 24 cm. Date : 2006 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1), Réserver Ajouter au panier (Supprimer)
		Knowledge discovery, knowledge engineering and knowledge management : first international joint conference, ic3k 2009, funchal, madeira, portugal, ... in computer and information science) Publication : [S.l.] Springer 2011 . 411 p. , This book constitutes the thoroughly refereed post-conference proceedings of the First International Joint Conference on Knowledge Discovery, Knowledge Engineering, and Knowledge Management, IC3K 2009, held in Funchal, Madeira, Portugal, in October 2009. This book includes revised and extended versions of a strict selection of the best papers presented at the conference; 27 revised full papers together with 3 invited lectures were carefully reviewed and selected from 369 submissions. According to the three covered conferences KDIR 2009, KEOD 2009, and KMIS 2009, the papers are organized in topical sections on on knowledge discovery and information retrieval, knowledge engineering and ontology development, and on knowledge management and information sharing. 24 cm. Date : 2011 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1), Réserver Ajouter au panier (Supprimer)
		Natural language processing and text mining Publication : London Springer. 2007 . xii, 265 pages 25 cm. Date : 2007 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1), Réserver Ajouter au panier (Supprimer)
		Advanced Methods for Knowledge Discovery from Complex Data par Bandyopadhyay, Sanghamitra. Publication : . 369p. , Description based upon print version of record. \| On-board Mining of Data Streams in Sensor NetworksDiscovering an Evolutionary Classifier over a High-speed Nonstatic Stream Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1), Réserver Ajouter au panier (Supprimer)
		Pro Apache Hadoop par Wadkar, Sameer. Publication : . XXII, 444 p. 70 illus. Disponibilité : http://dx.doi.org/10.1007/978-1-4302-4864-4, Ajouter au panier (Supprimer)
		Pro Microsoft HDInsight Hadoop on Windows / par Sarkar, Debarchan. Publication : . XVI, 272 p. 162 illus. Disponibilité : http://dx.doi.org/10.1007/978-1-4302-6056-1, Ajouter au panier (Supprimer)
		Rapid Graphs with Tableau 8 The Original Guide for the Accidental Analyst / par McDaniel, Stephen. Publication : . XI, 252 p. 279 illus. Disponibilité : http://dx.doi.org/10.1007/978-1-4302-6736-2, Ajouter au panier (Supprimer)
		Knowledge Visualization Currents From Text to Art to Culture / Publication : . XVI, 224 p. Disponibilité : http://dx.doi.org/10.1007/978-1-4471-4303-1, Ajouter au panier (Supprimer)
		Data Mining in Large Sets of Complex Data par Cordeiro, Robson L. F. Publication : . XI, 116 p. 37 illus., 25 illus. in color. Disponibilité : http://dx.doi.org/10.1007/978-1-4471-4890-6, Ajouter au panier (Supprimer)
		Graph-Based Clustering and Data Visualization Algorithms par Vathy-Fogarassy, Ágnes. Publication : . XIII, 110 p. 62 illus. Disponibilité : http://dx.doi.org/10.1007/978-1-4471-5158-6, Ajouter au panier (Supprimer)
		Data Mining Techniques in Sensor Networks Summarization, Interpolation and Surveillance / par Appice, Annalisa. Publication : . XIII, 105 p. 39 illus., 37 illus. in color. Disponibilité : http://dx.doi.org/10.1007/978-1-4471-5454-9, Ajouter au panier (Supprimer)
		Neural Networks and Statistical Learning par Du, Ke-Lin. Publication : . XXVII, 824 p. 166 illus., 68 illus. in color. Disponibilité : http://dx.doi.org/10.1007/978-1-4471-5571-3, Ajouter au panier (Supprimer)
		Compression Schemes for Mining Large Datasets A Machine Learning Perspective / par Ravindra Babu, T. Publication : . XVI, 197 p. 62 illus., 3 illus. in color. Disponibilité : http://dx.doi.org/10.1007/978-1-4471-5607-9, Ajouter au panier (Supprimer)
		Introduction to Computational Social Science Principles and Applications / par Cioffi-Revilla, Claudio. Publication : . XXXIII, 320 p. 59 illus., 21 illus. in color. Disponibilité : http://dx.doi.org/10.1007/978-1-4471-5661-1, Ajouter au panier (Supprimer)
		Mathematical Tools for Data Mining Set Theory, Partial Orders, Combinatorics / par Simovici, Dan A. Publication : . XI, 831 p. 93 illus. Disponibilité : http://dx.doi.org/10.1007/978-1-4471-6407-4, Ajouter au panier (Supprimer)
		Text Mining with MATLAB® par Banchs, Rafael E. Publication : . XII, 356 p. Disponibilité : http://dx.doi.org/10.1007/978-1-4614-4151-9, Ajouter au panier (Supprimer)
		Data Mining Applications Using Artificial Adaptive Systems Publication : . VII, 275 p. 135 illus., 111 illus. in color. Disponibilité : http://dx.doi.org/10.1007/978-1-4614-4223-3, Ajouter au panier (Supprimer)
		Persuasive Recommender Systems Conceptual Background and Implications / par Yoo, Kyung-Hyan. Publication : . VI, 59 p. 9 illus. Disponibilité : http://dx.doi.org/10.1007/978-1-4614-4702-3, Ajouter au panier (Supprimer)
		Computational Analysis of Terrorist Groups: Lashkar-e-Taiba Lashkar-e-Taiba / par Subrahmanian, V.S. Publication : . XIV, 234 p. Disponibilité : http://dx.doi.org/10.1007/978-1-4614-4769-6, Ajouter au panier (Supprimer)

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