Scholz, C.; Macek, B.-E.; Atzmueller, M.; Doerfel, S. & Stumme, G.: Mining Social Links for Ubiquitous Knowledge Engineering. In: David, K.; Geihs, K.; Leimeister, J. M.; Roßnagel, A.; Schmidt, L.; Stumme, G. & Wacker, A. (Hrsg.): Socio-technical Design of Ubiquitous Computing Systems. Springer International Publishing, 2014, S. 109-129
[Volltext]
Exploiting social links is an important issue for enhancing ubiquitous knowledge engineering because they are a substitute for a wide range of properties depending on which relation spans the link: in case of human face-to-face contacts, similar locations or potential knowledge transfer for the people in contact can be derived. This information can be used to improve the quality of ubiquitous services as localization or recommendation systems. We capture this information by deploying active RFID setups at a variety of contexts. In this chapter, we focus especially on working groups and conferences and discuss and evaluate the achieved improvements using the gathered data.
@incollection{scholz2014mining,
author = {Scholz, Christoph and Macek, Bjoern-Elmar and Atzmueller, Martin and Doerfel, Stephan and Stumme, Gerd},
title = {Mining Social Links for Ubiquitous Knowledge Engineering},
editor = {David, Klaus and Geihs, Kurt and Leimeister, Jan Marco and Roßnagel, Alexander and Schmidt, Ludger and Stumme, Gerd and Wacker, Arno},
booktitle = {Socio-technical Design of Ubiquitous Computing Systems},
publisher = {Springer International Publishing},
year = {2014},
pages = {109-129},
url = {http://dx.doi.org/10.1007/978-3-319-05044-7_7},
doi = {10.1007/978-3-319-05044-7_7},
isbn = {978-3-319-05043-0},
keywords = {2014, book, localization, myown, social, venus},
abstract = {Exploiting social links is an important issue for enhancing ubiquitous knowledge engineering because they are a substitute for a wide range of properties depending on which relation spans the link: in case of human face-to-face contacts, similar locations or potential knowledge transfer for the people in contact can be derived. This information can be used to improve the quality of ubiquitous services as localization or recommendation systems. We capture this information by deploying active RFID setups at a variety of contexts. In this chapter, we focus especially on working groups and conferences and discuss and evaluate the achieved improvements using the gathered data.}
}
Manning, C. D.; Raghavan, P. & Schütze, H.: Introduction to Information Retrieval. New York: Cambridge University Press, 2008
[Volltext]
"Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures." - Publisher's description.
@book{manning2008introduction,
author = {Manning, Christopher D. and Raghavan, Prabhakar and Schütze, Hinrich},
title = {Introduction to Information Retrieval},
publisher = {Cambridge University Press},
address = {New York},
year = {2008},
url = {http://www.amazon.com/Introduction-Information-Retrieval-Christopher-Manning/dp/0521865719/ref=sr_1_1?ie=UTF8&qid=1337379279&sr=8-1},
isbn = {9780521865715 0521865719},
keywords = {book, citedBy:doerfel2012leveraging, information, introduction, ir, retrieval},
abstract = {"Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures." -- Publisher's description.}
}
de Nooy, W.; Mrvar, A. & Batagelj, V.: Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences). illustrated edition. Aufl. Cambridge University Press, 2005
[Volltext]
@book{nooy2005exploratory,
author = {de Nooy, Wouter and Mrvar, Andrej and Batagelj, Vladimir},
title = {Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences)},
publisher = {Cambridge University Press},
year = {2005},
edition = {illustrated edition},
url = {http://www.amazon.com/Exploratory-Network-Analysis-Structural-Sciences/dp/0521602629},
isbn = {0521602629},
keywords = {analysis, book, exploratory, network, pajek, sna, social, structure}
}
Diestel, R.: Graph Theory. 3 (electronic edition). Aufl. Springer-Verlag Heidelberg, New York, 2005, S. I-XVI, 1-344
[Volltext]
@book{diestel2006graphentheorie,
author = {Diestel, Reinhard},
title = {Graph Theory},
publisher = {Springer-Verlag Heidelberg, New York},
year = {2005},
pages = {I-XVI, 1-344},
edition = {3 (electronic edition)},
url = {http://www.math.ubc.ca/~solymosi/2007/443/GraphTheoryIII.pdf},
keywords = {book, density, diesel, graph, theory}
}