The aim of the International Journal of Advances in Internet of Things is to provide a forum for scientists and social workers to present and discuss issues in the impact of the Internet to the society and disseminate findings in scientific research on related subjects.
The Cataloger's Reference Shelf is based on 21 MARC manuals and other reference works published by The Library of Congress and frequently accessed by technical services staff. A must see for catalogers!
Classify is an OCLC research prototype designed to support the assignment of classification numbers and subject headings for books, DVDs, CDs, and other types of library materials.
The UDC Summary of around 2,000 classes has been online since October 2009 and can now be browsed in 10 languages here.
The UDC summary is fully aligned with the UDC MRF 2009 which is going to be released in the following months.This set is made available for free use under the Creative Commons Attribution Share Alike 3.0 license (CC-BY-SA).
Dewey.info is an experimental space for linked DDC data. The initial data set available is a
linked data version of the DDC Summaries in nine languages. The intention of the dewey.info prototype
is to be a platform for Dewey data on the Web.
LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear SVM.
Main features of LIBLINEAR include
* Same data format as LIBSVM, our general-purpose SVM solver, and also similar usage
* Multi-class classification: 1) one-vs-the rest, 2) Crammer & Singer
* Cross validation for model selection
* Probability estimates (logistic regression only)
* Weights for unbalanced data
* MATLAB/Octave, Java interfaces
Function answers the question --- what is being done?Technique answers the question -- how something being done?
Application answers the question --- what is the problem being solved?
ExamplesBusiness Activity Monitoring (BAM) is an application type, it solves the problem of controlling the business activities in order to optimize the business, deal with exceptions etc...Business Rules are type of technique --- which can be used to infer facts from other facts or rules (inference rules) , or to determine action when event occurs and condition is satisfied (ECA rules) and more (there are at least half a dozen types of rules, which are techniques to do something).Event Processing is really a set of functions which does what the name indicates -- process events --- processing can be filtering, transforming, enriching, routing, detect patterns, deriving and some more.
TIE is a project for application identification through network traffic analysis (aka Traffic Classification, Traffic Identification, etc.). We aim at building a common platform for the study and the development of traffic classification techniques by fostering collaboration among researchers and practitioners. TIE offers an open-source platform working as a multiple classifier system able to combine multiple classification techniques (implemented as separate plugins) and adopting different strategies of decision combination.
Ein englischer Text von Adam Mathes mit den Themen:The Creation of Metadata, Tagging Content in Del.icio.us and Flickr, From Tags to Folksonomy, Why Folksonomies Work and Areas For Further Research
Xstructure is a service for browsing and searching papers in arxiv.org
Among the features of this service are:
* Automated generation of hierarchical classification scheme for the papers. The scheme results from classification of the papers in the arxiv database. The only input for the classification is the citation graph. The number of the levels in the hierarchy and the number of the clusters is determined by the algorithm. The algorithm creates the classification scheme, and indexes the papers by the created classification;
* The classification is used to index the new papers. We plan to rebuild the classification scheme regularly. In this way, we will take into account that appearance of new papers may lead to emergence of new themes. Detection of new themes is one of our objectives;
* A number of extra attributes (e.g. Theme name, Authority and Review Articles, etc.) for the elements (themes) of the classification (see Help);
* Accessability of the classification in response to search requests via display options, e.g., display as Tree of Themes, and Refrerence (Citation) Tree.
About 10% of papers from arxiv are missed in our database. We work on decreasing this number.
Comments, questions, and suggestions are to be sent to Grigorii Pivovarov
Scalable and Efficient Data Streaming Algorithms for Detecting Common Content in Internet Traffic. Minho Sung, Abhishek Kumar, Li Li, Jia Wang, Jun Xu. To appear in the Proc. of 2nd IEEE International Workshop on Networking Meets Databases (NetDB'06), April 2006. Sketch Guided Sampling -- Using On-Line Estimates of Flow Size for Adaptive Data Collection. Abhishek Kumar, Jun (Jim) Xu. To appear in the proceedings of IEEE Infocom'06, Barcelona, Spain, April 2006.
MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.