@book{Edwards2000, title = {Introduction to Graphical Modelling}, author = {David Edwards}, howpublished = {Hardcover}, month = {June}, publisher = {Springer}, year = 2000, url = {http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20\&path=ASIN/0387950540}, id = {1041555}, priority = {2}, isbn = {0387950540}, description = {CiteULike: Introduction to Graphical Modelling}, abstract = {Graphic modelling is a form of multivariate analysis that uses graphs to represent models. These graphs display the structure of dependencies, both associational and causal, between the variables in the model. This textbook provides an introduction to graphical modelling with emphasis on applications and practicalities rather than on a formal development. It is based on the popular software package for graphical modelling, MIM, a freeware version of which can be downloaded from the Internet. Following an introductory chapter which sets the scene and describes some of the basic ideas of graphical modelling, subsequent chapters describe particular families of models, including log-linear models, Gaussian models, and models for mixed discrete and continuous variables. Further chapters cover hypothesis testing and model selection. Chapters 7 and 8 are new to the second edition. Chapter 7 describes the use of directed graphs, chain graphs, and other graphs. Chapter 8 summarizes some recent work on causal inference, relevant when graphical models are given a causal interpretation. This book will provide a useful introduction to this topic for students and researchers.}, biburl = {http://www.bibsonomy.org/bibtex/297597b0f59e5c6a53ad4df240bbda32c/wnpxrz}, keywords = {bayesian proj:o4p to:borrow toread book} } @book{keyhere, title = {Conceptual Modeling for Advanced Application Domains}, author = {Shan Wang and Katsumi Tanaka and Shuigeng Zhou and Tok Wang Ling and Jihong Guan and Dongqing Yang and Fabio Grandi and Eleni Mangina and Il-Yeol Song and Heinrich C. ER Mayr}, journal = {Conceptual Modeling for Advanced Application Domains}, pages = {--}, year = 2004, url = {http://dx.doi.org/10.1007/b101694}, description = {SpringerLink - Book}, biburl = {http://www.bibsonomy.org/bibtex/24ef869a419460986c0fc0dc0ee244731/wnpxrz}, keywords = {book ontology imported} } @article{Baader2003, title = {The Description Logic Handbook: Theory, Implementation, and Applications}, author = {Franz Baader and Diego Calvanese and Deborah L. McGuinness and Daniele Nardi}, year = 2003, url = {http://www.amazon.com/Description-Logic-Handbook-Implementation-Applications/dp/0521876257/ref=pd_bbs_sr_1?ie=UTF8&s=books&qid=1194967964&sr=8-1}, typesource = {Simple CitationSource}, source = {}, asin = {0521876257}, pubmed = {}, doi = {}, description = {Amazon.com: The Description Logic Handbook: Theory, Implementation, and Applications: Books: Franz Baader,Diego Calvanese,Deborah L. McGuinness,Daniele Nardi,Peter F. Patel-Schneider}, biburl = {http://www.bibsonomy.org/bibtex/257de558141ff78520b5f0b8d734df376/wnpxrz}, keywords = {descriptionlogics imported proj:o4p dl book semanticweb owl} } @book{hansen:johnson:2004, title = {The Visualization Handbook}, author = {Charles D. Hansen and Chris Johnson}, howpublished = {Hardcover}, month = {December}, publisher = {Academic Press}, year = 2004, url = {http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20{\&}path=ASIN/012387582X}, id = {379832}, priority = {2}, isbn = {012387582X}, description = {CiteULike: The Visualization Handbook}, abstract = {The Visualization Handbook provides an overview of the field of visualization by presenting the basic concepts, providing a snapshot of current visualization software systems, and examining research topics that are advancing the field.

This text is intended for a broad audience, including not only the visualization expert seeking advanced methods to solve a particular problem, but also the novice looking for general background information on visualization topics. The largest collection of state-of-the-art visualization research yet gathered in a single volume, this book includes articles by a whos who of international scientific visualization researchers covering every aspect of the discipline, including:
· Virtual environments for visualization
· Basic visualization algorithms
· Large-scale data visualization
· Scalar data isosurface methods
· Visualization software and frameworks
· Scalar data volume rendering
· Perceptual issues in visualization
· Various application topics, including information visualization.

* Edited by two of the best known people in the world on the subject; chapter authors are authoritative experts in their own fields;
* Covers a wide range of topics, in 47 chapters, representing the state-of-the-art of scientific visualization. Visualization involves constructing graphical interfaces that enable humans to understand complex data sets; it helps humans overcome their natural limitations in terms of extracting knowledge from the massive volumes of data that are now routinely connected. The best argument for scientific visualization is that today's researchers must consume ever higher volumes of numbers that gush, as if from a fire hose, out of supercomputer simulations or high-powered scientific instruments. If researchers try to read the data, usually presented as vast numeric matrices, they will take in the information at snail's pace. If the information is rendered graphically, however, they can assimilate it at a much faster rate Rapid advances in 3-D scientific visualization have made a major impact on the display of data/information.}, biburl = {http://www.bibsonomy.org/bibtex/206a65c71460f294f7a0cbf5805234b16/wnpxrz}, keywords = {visualization book} } @book{citeulike:1610419, title = {Programming Collective Intelligence: Building Smart Web 2.0 Applications}, author = {Toby Segaran}, howpublished = {Paperback}, month = {August}, publisher = {{O'Reilly Media, Inc.}}, year = 2007, url = {http://www.amazon.fr/exec/obidos/redirect?tag=citeulike06-21{\&}path=ASIN/0596529325}, id = {1610419}, priority = {0}, isbn = {0596529325}, description = {CiteULike: Programming Collective Intelligence: Building Smart Web 2.0 Applications}, abstract = {{Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.

Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you.

"Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."
-- Dan Russell, Google

"Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."
-- Tim Wolters, CTO, Collective Intellect}}, biburl = {http://www.bibsonomy.org/bibtex/28719535a1e41f0e09be8d18063ac0707/wnpxrz}, keywords = {programming web2.0 book} } @book{keyhere, title = {The Adaptive Web }, author = {Peter Brusilovsky and Alfred Kobsa and Wolfgang ER Nejdl}, journal = {The Adaptive Web}, pages = {--}, year = 2007, url = {http://dx.doi.org/10.1007/978-3-540-72079-9}, description = {SpringerLink - Book}, biburl = {http://www.bibsonomy.org/bibtex/2cc870b2948409685a639e130d5b22191/wnpxrz}, keywords = {book web imported} } @book{keyhere, title = {Semi-Supervised Learning}, author = {Olivier Chapelle and Bernhard Schölkopf and Alexander Zien}, year = 2006, url = {http://www.amazon.com/Semi-Supervised-Learning-Adaptive-Computation-Machine/dp/0262033585/ref=pd_bbs_sr_1/102-0524984-2378564?ie=UTF8&s=books&qid=1188925294&sr=8-1}, typesource = {Simple CitationSource}, source = {}, asin = {0262033585}, pubmed = {}, doi = {}, description = {Amazon.com: Semi-Supervised Learning (Adaptive Computation and Machine Learning): Books: Olivier Chapelle,Bernhard Schölkopf,Alexander Zien}, biburl = {http://www.bibsonomy.org/bibtex/27897c1bbec1b3a621e660cd875ca101b/wnpxrz}, keywords = {book imported ssl semisupervised learning} } @book{books/sp/StaabS04, title = {Handbook on Ontologies}, booktitle = {Handbook on Ontologies}, editor = {Steffen Staab and Rudi Studer}, publisher = {Springer}, series = {International Handbooks on Information Systems}, year = 2004, url = {http://dblp.uni-trier.de/db/books/collections/StaabS2004.html}, isbn = {3-540-40834-7}, date = {2004-03-30}, description = {dblp}, biburl = {http://www.bibsonomy.org/bibtex/228269590c9d9c1660c1d7c98a73a28e1/wnpxrz}, keywords = {book ontology} }