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ORCID21st DaWaK 2019: Linz, Austria
- Carlos Ordonez, Il-Yeol Song, Gabriele Anderst-Kotsis, A Min Tjoa
, Ismail Khalil:
Big Data Analytics and Knowledge Discovery - 21st International Conference, DaWaK 2019, Linz, Austria, August 26-29, 2019, Proceedings. Lecture Notes in Computer Science 11708, Springer 2019, ISBN 978-3-030-27519-8
Applications
- Mohammad Riazi, Osmar R. Zaïane, Tomoharu Takeuchi, Anthony Maltais, Johannes Günther, Micheal Lipsett:
Detecting the Onset of Machine Failure Using Anomaly Detection Methods. 3-12 - Enrico Gallinucci, Matteo Golfarelli, Stefano Rizzi:
A Hybrid Architecture for Tactical and Strategic Precision Agriculture. 13-23 - Carson K. Leung, Peter Braun, Calvin S. H. Hoi, Joglas Souza, Alfredo Cuzzocrea:
Urban Analytics of Big Transportation Data for Supporting Smart Cities. 24-33
Patterns
- Joe Wing-Ho Lin, Raymond Chi-Wing Wong:
Frequent Item Mining When Obtaining Support Is Costly. 37-56 - Raj Bhatta, Christie I. Ezeife, Mahreen Nasir Butt:
Mining Sequential Patterns of Historical Purchases for E-commerce Recommendation. 57-72 - Philippe Fournier-Viger, Jiaxuan Li, Jerry Chun-Wei Lin, Tin Truong-Chi:
Discovering and Visualizing Efficient Patterns in Cost/Utility Sequences. 73-88 - Yuya Nasu, Hiroyuki Kitagawa, Kosuke Nakabasami:
Efficient Row Pattern Matching Using Pattern Hierarchies for Sequence OLAP. 89-104 - Hoang-Son Pham, Gwendal Virlet, Dominique Lavenier, Alexandre Termier:
Statistically Significant Discriminative Patterns Searching. 105-115
RDF and Streams
- Jam Jahanzeb Khan Behan, Oscar Romero, Esteban Zimányi:
Multidimensional Integration of RDF Datasets. 119-135 - Jorge Galicia, Amin Mesmoudi, Ladjel Bellatreche:
RDFPartSuite: Bridging Physical and Logical RDF Partitioning. 136-150 - Amine El Ouassouli, Lionel Robinault, Vasile-Marian Scuturici:
Mining Quantitative Temporal Dependencies Between Interval-Based Streams. 151-165 - Carlos Garcia-Alvarado, Joy Kent, Li Liu, Jay Hum:
Democratization of OLAP DSMS. 166-175
Big Data Systems
- Corinna Giebler, Christoph Gröger, Eva Hoos, Holger Schwarz, Bernhard Mitschang:
Leveraging the Data Lake: Current State and Challenges. 179-188 - Yassine Ramdane, Nadia Kabachi, Omar Boussaid, Fadila Bentayeb:
SDWP: A New Data Placement Strategy for Distributed Big Data Warehouses in Hadoop. 189-205 - Erik G. Selin, Herna L. Viktor:
Improved Programming-Language Independent MapReduce on Shared-Memory Systems. 206-220 - Marcio Ferro, Rinaldo Lima, Robson do Nascimento Fidalgo:
Evaluating Redundancy and Partitioning of Geospatial Data in Document-Oriented Data Warehouses. 221-235
Graphs and Machine Learning
- Bakshi Rohit Prasad, Sonali Agarwal:
Scalable Least Square Twin Support Vector Machine Learning. 239-249 - Philippe Fournier-Viger, Chao Cheng, Zhi Cheng, Jerry Chun-Wei Lin, Nazha Selmaoui-Folcher:
Finding Strongly Correlated Trends in Dynamic Attributed Graphs. 250-265 - Hilal Genc, Burcu Yilmaz:
Text-Based Event Detection: Deciphering Date Information Using Graph Embeddings. 266-278 - Xiaoying Wu, Dimitri Theodoratos, Dimitrios Skoutas, Michael Lan:
Efficiently Computing Homomorphic Matches of Hybrid Pattern Queries on Large Graphs. 279-295
Databases
- Judith Awiti, Alejandro A. Vaisman, Esteban Zimányi:
From Conceptual to Logical ETL Design Using BPMN and Relational Algebra. 299-309 - Kosuke Yuki, Atsushi Keyaki, Jun Miyazaki, Masahide Nakamura:
Accurate Aggregation Query-Result Estimation and Its Efficient Processing on Distributed Key-Value Store. 310-320
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