Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
Ontology Learning for the Semantic Web
IEEE Intelligent Systems
Machine Learning
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Generating Rule Sets from Model Trees
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
Chi2: Feature Selection and Discretization of Numeric Attributes
TAI '95 Proceedings of the Seventh International Conference on Tools with Artificial Intelligence
How the Semantic Web is Being Used: An Analysis of FOAF Documents
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 4 - Volume 04
YALE: rapid prototyping for complex data mining tasks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Ontology Matching
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)
Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Possible Ontologies: How Reality Constrains the Development of Relevant Ontologies
IEEE Internet Computing
SPARQLeR: Extended Sparql for Semantic Association Discovery
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Towards Machine Learning on the Semantic Web
Uncertainty Reasoning for the Semantic Web I
DBpedia - A crystallization point for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
TripleRank: Ranking Semantic Web Data by Tensor Decomposition
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Web Semantics: Science, Services and Agents on the World Wide Web
Adding data mining support to SPARQL via statistical relational learning methods
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Ontology alignment for linked open data
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Mining association rules from semantic web data
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
WEKA---Experiences with a Java Open-Source Project
The Journal of Machine Learning Research
Schema Matching and Mapping
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
Learning relational bayesian classifiers from RDF data
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
DBpedia spotlight: shedding light on the web of documents
Proceedings of the 7th International Conference on Semantic Systems
Automated feature generation from structured knowledge
Proceedings of the 20th ACM international conference on Information and knowledge management
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Improvements to the SMO algorithm for SVM regression
IEEE Transactions on Neural Networks
Generating possible interpretations for statistics from linked open data
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
Generating possible interpretations for statistics from linked open data
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
Attract me!: how could end-users identify interesting resources?
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
Like prediction: modeling like counts by bridging facebook pages with linked data
Proceedings of the 22nd international conference on World Wide Web companion
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The quality of the results of a data mining process strongly depends on the quality of the data it processes. A good result is more likely to obtain the more useful background knowledge there is in a dataset. In this paper, we present a fully automatic approach for enriching data with features that are derived from Linked Open Data, a very large, openly available data collection. We identify six different types of feature generators, which are implemented in our open-source tool FeGeLOD. In four case studies, we show that our approach can be applied to different problems, ranging from classical data mining to ontology learning and ontology matching on the semantic web. The results show that features generated from publicly available information may allow data mining in problems where features are not available at all, as well as help improving the results for tasks where some features are already available.