M. Acosta, M. Vidal, T. Lampo, J. Castillo, and E. Ruckhaus, ANAPSID: An Adaptive Query Processing Engine for SPARQL Endpoints, International Semantic Web Conference (ISWC), Part I, 2011.
DOI : 10.1109/2.121508

C. Basca and A. Bernstein, Avalanche: Putting the Spirit of the Web back into Semantic Web Querying, International Semantic Web Conference (ISWC), 2010.

O. Görlitz and S. Staab, SPLENDID:SPARQL Endpoint Federation Exploiting VOID Descriptions, International Workshop on Consuming Linked Data (COLD), 2011.

J. Han, M. Kamber, and J. Pei, Data Mining, 2011.
DOI : 10.1007/978-1-4899-7993-3_104-2

O. Hartig, C. Bizer, and J. C. Freytag, Executing SPARQL Queries over the Web of Linked Data, International Semantic Web Conference, 2009.
DOI : 10.1007/978-3-642-04930-9_19

H. Mannila, H. Toivonen, and A. I. Verkamo, Discovery of Frequent Episodes in Event Sequences, Data Mining and Knowledge Discovery, vol.1, issue.3, 1997.

C. H. Mooney and J. F. Roddick, Sequential pattern mining -- approaches and algorithms, ACM Computing Surveys, vol.45, issue.2, p.19, 2013.
DOI : 10.1145/2431211.2431218

J. Pérez, M. Arenas, and C. Gutierrez, Semantics and Complexity of SPARQL, ACM Transactions on Database Systems (TODS), vol.34, issue.3, 2009.

B. Quilitz and U. Leser, Querying Distributed RDF Data Sources with SPARQL, European Semantic Web Conference (ESWC), 2008.
DOI : 10.1007/978-3-540-68234-9_39

M. Schmidt, O. Görlitz, P. Haase, G. Ladwig, A. Schwarte et al., Fed- Bench: A Benchmark Suite for Federated Semantic Data Query Processing, International Semantic Web Conference (ISWC), 2011.

A. Schwarte, P. Haase, K. Hose, R. Schenkel, and M. Schmidt, FedX: Optimization Techniques for Federated Query Processing on Linked Data, International Semantic Web Conference (ISWC), Part I, 2011.
DOI : 10.1007/978-3-642-21064-8_39

W. Van-der and . Aalst, Process Mining: Discovery, Conformance and Enhancement of Business Processes, 2011.