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» Relational concept discovery in structured datasets
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WWW
2007
ACM
14 years 10 months ago
Hierarchical, perceptron-like learning for ontology-based information extraction
Recent work on ontology-based Information Extraction (IE) has tried to make use of knowledge from the target ontology in order to improve semantic annotation results. However, ver...
Yaoyong Li, Kalina Bontcheva
KDD
2007
ACM
177views Data Mining» more  KDD 2007»
14 years 10 months ago
Mining optimal decision trees from itemset lattices
We present DL8, an exact algorithm for finding a decision tree that optimizes a ranking function under size, depth, accuracy and leaf constraints. Because the discovery of optimal...
Élisa Fromont, Siegfried Nijssen
WWW
2001
ACM
14 years 10 months ago
Intelligent crawling on the World Wide Web with arbitrary predicates
The enormous growth of the world wide web in recent years has made it important to perform resource discovery e ciently. Consequently, several new ideas have been proposed in rece...
Charu C. Aggarwal, Fatima Al-Garawi, Philip S. Yu
VLDB
2007
ACM
137views Database» more  VLDB 2007»
14 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
ICDE
2010
IEEE
220views Database» more  ICDE 2010»
13 years 7 months ago
Profiling linked open data with ProLOD
Linked open data (LOD), as provided by a quickly growing number of sources constitutes a wealth of easily accessible information. However, this data is not easy to understand. It i...
Christoph Böhm, Felix Naumann, Ziawasch Abedj...