New Trends in Databases and Information Systems: ADBIS 2019 Short Papers, Workshops BBIGAP, QAUCA, SemBDM, SIMPDA, M2P, MADEISD, and Doctoral Consortium, Bled, Slovenia, September 8–11, 2019, Proceedings

The East-European Conference in Advances in Data Bases & Information Systems (ADBIS) spans 20 years of life. Here, by using simple statistic measures and bibliographic analysis, we illustrate basic characteristics and features of ADBIS, i.e. the venues, persons and countries involved. Also, its international character, its competitiveness and its status in the community are revealed. Finally, prolific authors and countries are extracted, topics of interest are deduced, collaboration issues and citing performance are illuminated.

[1]  Gerhard Weikum,et al.  Top-k Query Evaluation with Probabilistic Guarantees , 2004, VLDB.

[2]  Meinald T. Thielsch,et al.  E-recruiting and fairness: the applicant’s point of view , 2012, Inf. Technol. Manag..

[3]  Mustafa ElNainay,et al.  SODIM: Service Oriented Data Integration based on MapReduce , 2013 .

[4]  Umberto Straccia,et al.  A System for Retrieving Top-k Candidates to Job Positions , 2009, Description Logics.

[5]  Stephen E. Robertson,et al.  Experimentation as a way of life: Okapi at TREC , 2000, Inf. Process. Manag..

[6]  S. Ilarri,et al.  Comparison and Performance Evaluation of Mobile Agent Platforms , 2007, Third International Conference on Autonomic and Autonomous Systems (ICAS'07).

[7]  Cheikh Ba,et al.  Preference-Driven Refinement of Service Compositions , 2014, CLOSER 2014.

[8]  Hans-Peter Kriegel,et al.  A generic framework for efficient subspace clustering of high-dimensional data , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

[9]  Ira Assent,et al.  DUSC: Dimensionality Unbiased Subspace Clustering , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

[10]  Alon Y. Halevy,et al.  Answering queries using views: A survey , 2001, The VLDB Journal.

[11]  Genoveva Vargas-Solar,et al.  Can Data Integration Quality Be Enhanced on Multi-cloud Using SLA? , 2015, DEXA.

[12]  Jorge Martínez Gil Automated knowledge base management: A survey , 2015, Comput. Sci. Rev..

[13]  Lyndon J. B. Nixon,et al.  Improving the Accuracy of Job Search with Semantic Techniques , 2007, BIS.

[14]  Huan Liu,et al.  Evaluating Subspace Clustering Algorithms , 2004 .

[15]  Ihab F. Ilyas,et al.  Supporting ranking queries on uncertain and incomplete data , 2010, The VLDB Journal.

[16]  Giovanni Quattrone,et al.  An XML-Based Multiagent System for Supporting Online Recruitment Services , 2007, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[17]  Brahim Medjahed,et al.  A Query Rewriting Approach for Web Service Composition , 2010, IEEE Transactions on Services Computing.

[18]  John Mylopoulos,et al.  Knowledge Bases and Databases: Current Trends and Future Directions , 1990, IS/KI.

[19]  Djamal Benslimane,et al.  FuDoCS: A Web Service Composition System Based on Fuzzy Dominance for Preference Query Answering , 2011, Proc. VLDB Endow..

[20]  Alberto Mozo,et al.  Massively Parallel Unsupervised Feature Selection on Spark , 2015, ADBIS.

[21]  Sergio Ilarri,et al.  MAVSIM: Testing VANET Applications Based on Mobile Agents , 2016, Cognitive Vehicular Networks.

[22]  Klaus-Dieter Schewe,et al.  Semantic Matching Strategies for Job Recruitment: A Comparison of New and Known Approaches , 2016, FoIKS.

[23]  Klaus-Dieter Schewe,et al.  Extending Knowledge-Based Profile Matching in the Human Resources Domain , 2015, DEXA.

[24]  Sergio Ilarri,et al.  Using Mobile Agents in Vehicular Networks for Data Processing , 2013, 2013 IEEE 14th International Conference on Mobile Data Management.

[25]  Martin A. Musicante,et al.  SLA-Guided Data Integration on Cloud Environments , 2014, 2014 IEEE 7th International Conference on Cloud Computing.