Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
XClust: clustering XML schemas for effective integration
Proceedings of the eleventh international conference on Information and knowledge management
Syllables and other String Kernel Extensions
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
Preparations for Semantics-Based XML Mining
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
SVM Classification Using Sequences of Phonemes and Syllables
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
Quality driven web services composition
WWW '03 Proceedings of the 12th international conference on World Wide Web
The Journal of Machine Learning Research
An Efficient and Scalable Algorithm for Clustering XML Documents by Structure
IEEE Transactions on Knowledge and Data Engineering
Fast Detection of XML Structural Similarity
IEEE Transactions on Knowledge and Data Engineering
An Improved Cluster Labeling Method for Support Vector Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning the Kernel Matrix for XML Document Clustering
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
A tree-based approach to clustering XML documents by structure
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
Similarity evaluation on tree-structured data
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Structure and content scoring for XML
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Dynamic Characterization of Cluster Structures for Robust and Inductive Support Vector Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Domain described support vector classifier for multi-classification problems
Pattern Recognition
A fuzzy clustering approach for finding similar documents using a novel similarity measure
Expert Systems with Applications: An International Journal
Content-Level conformance testing: an information mapping case study
TestCom'05 Proceedings of the 17th IFIP TC6/WG 6.1 international conference on Testing of Communicating Systems
An introduction to kernel-based learning algorithms
IEEE Transactions on Neural Networks
Equilibrium-Based Support Vector Machine for Semisupervised Classification
IEEE Transactions on Neural Networks
Improving memory-based collaborative filtering via similarity updating and prediction modulation
Information Sciences: an International Journal
Hi-index | 12.05 |
A challenging issue to web services interoperability is seamless data exchanges between web services to be composed. A solution to this problem is to establish semantic mappings from an information item to another. To do that, we present an approximate information mapping analysis. We propose a kernel-based structural similarity measure for XML documents. Simulation results with industrial XML data show that the proposed kernel-based measure outperforms other existing methods.