Big Data Analytics and Knowledge Discovery: 21st International Conference, DaWaK 2019, Linz, Austria, August 26–29, 2019, Proceedings

Description

This book constitutes the refereed proceedings of the 21st International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2019, held in Linz, Austria, in September 2019. The 12 full papers and 10 short papers presented were carefully reviewed and selected from 61 submissions. The papers are organized in the following topical sections: Applications; patterns; RDF and streams; big data systems; graphs and machine learning; databases. Front Matter ....Pages i-xiii Front Matter ....Pages 1-1 Detecting the Onset of Machine Failure Using Anomaly Detection Methods (Mohammad Riazi, Osmar Zaiane, Tomoharu Takeuchi, Anthony Maltais, Johannes Günther, Micheal Lipsett)....Pages 3-12 A Hybrid Architecture for Tactical and Strategic Precision Agriculture (Enrico Gallinucci, Matteo Golfarelli, Stefano Rizzi)....Pages 13-23 Urban Analytics of Big Transportation Data for Supporting Smart Cities (Carson K. Leung, Peter Braun, Calvin S. H. Hoi, Joglas Souza, Alfredo Cuzzocrea)....Pages 24-33 Front Matter ....Pages 35-35 Frequent Item Mining When Obtaining Support Is Costly (Joe Wing-Ho Lin, Raymond Chi-Wing Wong)....Pages 37-56 Mining Sequential Patterns of Historical Purchases for E-commerce Recommendation (Raj Bhatta, C. I. Ezeife, Mahreen Nasir Butt)....Pages 57-72 Discovering and Visualizing Efficient Patterns in Cost/Utility Sequences (Philippe Fournier-Viger, Jiaxuan Li, Jerry Chun-Wei Lin, Tin Truong-Chi)....Pages 73-88 Efficient Row Pattern Matching Using Pattern Hierarchies for Sequence OLAP (Yuya Nasu, Hiroyuki Kitagawa, Kosuke Nakabasami)....Pages 89-104 Statistically Significant Discriminative Patterns Searching (Hoang Son Pham, Gwendal Virlet, Dominique Lavenier, Alexandre Termier)....Pages 105-115 Front Matter ....Pages 117-117 Multidimensional Integration of RDF Datasets (Jam Jahanzeb Khan Behan, Oscar Romero, Esteban Zimányi)....Pages 119-135 RDFPartSuite: Bridging Physical and Logical RDF Partitioning (Jorge Galicia, Amin Mesmoudi, Ladjel Bellatreche)....Pages 136-150 Mining Quantitative Temporal Dependencies Between Interval-Based Streams (Amine El Ouassouli, Lionel Robinault, Vasile-Marian Scuturici)....Pages 151-165 Democratization of OLAP DSMS (Carlos Garcia-Alvarado, Joy Kent, Li Liu, Jay Hum)....Pages 166-175 Front Matter ....Pages 177-177 Leveraging the Data Lake: Current State and Challenges (Corinna Giebler, Christoph Gröger, Eva Hoos, Holger Schwarz, Bernhard Mitschang)....Pages 179-188 SDWP: A New Data Placement Strategy for Distributed Big Data Warehouses in Hadoop (Yassine Ramdane, Nadia Kabachi, Omar Boussaid, Fadila Bentayeb)....Pages 189-205 Improved Programming-Language Independent MapReduce on Shared-Memory Systems (Erik G. Selin, Herna L. Viktor)....Pages 206-220 Evaluating Redundancy and Partitioning of Geospatial Data in Document-Oriented Data Warehouses (Marcio Ferro, Rinaldo Lima, Robson Fidalgo)....Pages 221-235 Front Matter ....Pages 237-237 Scalable Least Square Twin Support Vector Machine Learning (Bakshi Rohit Prasad, Sonali Agarwal)....Pages 239-249 Finding Strongly Correlated Trends in Dynamic Attributed Graphs (Philippe Fournier-Viger, Chao Cheng, Zhi Cheng, Jerry Chun-Wei Lin, Nazha Selmaoui-Folcher)....Pages 250-265 Text-Based Event Detection: Deciphering Date Information Using Graph Embeddings (Hilal Genc, Burcu Yilmaz)....Pages 266-278 Efficiently Computing Homomorphic Matches of Hybrid Pattern Queries on Large Graphs (Xiaoying Wu, Dimitri Theodoratos, Dimitrios Skoutas, Michael Lan)....Pages 279-295 Front Matter ....Pages 297-297 From Conceptual to Logical ETL Design Using BPMN and Relational Algebra (Judith Awiti, Alejandro Vaisman, Esteban Zimányi)....Pages 299-309 Accurate Aggregation Query-Result Estimation and Its Efficient Processing on Distributed Key-Value Store (Kosuke Yuki, Atsushi Keyaki, Jun Miyazaki, Masahide Nakamura)....Pages 310-320 Back Matter ....Pages 321-321