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» Statistical Relational Learning for Document Mining
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VLDB
2007
ACM
137views Database» more  VLDB 2007»
15 years 3 months ago
Detecting Attribute Dependencies from Query Feedback
Real-world datasets exhibit a complex dependency structure among the data attributes. Learning this structure is a key task in automatic statistics configuration for query optimi...
Peter J. Haas, Fabian Hueske, Volker Markl
DEXAW
2010
IEEE
202views Database» more  DEXAW 2010»
14 years 10 months ago
Identifying Sentence-Level Semantic Content Units with Topic Models
Abstract--Statistical approaches to document content modeling typically focus either on broad topics or on discourselevel subtopics of a text. We present an analysis of the perform...
Leonhard Hennig, Thomas Strecker, Sascha Narr, Ern...
CIKM
2009
Springer
15 years 1 months ago
Improving binary classification on text problems using differential word features
We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of proble...
Justin Martineau, Tim Finin, Anupam Joshi, Shamit ...
WWW
2009
ACM
15 years 10 months ago
Automated construction of web accessibility models from transaction click-streams
Screen readers, the dominant assistive technology used by visually impaired people to access the Web, function by speaking out the content of the screen serially. Using screen rea...
Jalal Mahmud, Yevgen Borodin, I. V. Ramakrishnan, ...
FASE
2009
Springer
15 years 4 months ago
SNIFF: A Search Engine for Java Using Free-Form Queries
Reuse of existing libraries simplifies software development efforts. However, these libraries are often complex and reusing the APIs in the libraries involves a steep learning cu...
Shaunak Chatterjee, Sudeep Juvekar, Koushik Sen