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Most of modern enterprises, institutions, and organizations rely on knowledge-based management systems. In these systems, knowledge is gained from data analysis. Nowadays, knowledge-based management systems include data warehouses as their core components. The purpose of building a data warehouse is twofold. Firstly, to integrate multiple heterogeneous, autonomous, and distributed data sources within an enterprise. Secondly, to provide a platform for advanced, complex, and efficient data analysis. Data integrated in a data warehouse are analyzed by the so-called On-Line Analytical Processing (OLAP) applications designed among others for discovering trends, patterns of behavior, and anomalies as well as for finding dependencies between data. Massive amounts of integrated data and the complexity of integrated data that more and more often come from WEB-based, XML-based, spatio-temporal, object, and multimedia systems, make data integration and processing challenging. The objective of NEW TRENDS IN DATA WAREHOUSING AND DATA ANALYSIS is fourfold: First, to bring together the most recent research and practical achievements in the DW and OLAP technologies. Second, to open and discuss new, just emerging areas of further development. Third, to provide the up-to-date bibliography of published works and the resource of research achievements for anyone interested in up-to-date data warehouse issues. And, finally, to assist in the dissemination of knowledge in the field of advanced DW and OLAP. Stanislaw Kozielski works as a professor at the Silesian University of Technology, Poland. In 1977 he earned his Ph.D. in computer science (model building for information systems). In 1988 he received the D.Sc. in computer science (database design), and in 1997 he received the professor title in computer science. Between 1971-1991 and 2002-2007 he took part in several research, academic and industrial projects on software tools design, databases, information systems design, and information technologies. Between 1991-1996 he was the vice-dean and in 1996-2002 he was the dean of the Faculty of Automatic Control, Electronics and Computer Science of the Silesian University of Technology. His main research areas encompass databases (design, query languages), data warehouse technologies (efficiency, multidimensional modeling), and distributed processing (database query). Dr. hab. Robert Wrembel is an Assistant Professor in the Institute of Computing Science at Poznan University of Technology, Poland. In 2008 he received the post-doctoral degree in computer science, specializing in database systems and data warehouses. He was elected a deputy dean of the Faculty of Computing Science and Management for the period Sept. 2008 - Aug. 2011. Since 1996 he has been actively involved in five research projects on databases and four industrial projects in the field of information technologies. He has paid a number of visits to research and education centers, including INRIA Paris-Rocquencourt (France), the Paris Dauphine University (France), Klagenfurt University (Austria), and Loyola University (USA). His main research interests encompass data warehouse technologies (temporal, multiversion, object-relational) and object-oriented systems (views, data access optimization, methods and views materialization). .

Data mining. --- Data warehousing. --- Database management. --- Management -- Data Warehousing. --- Data warehousing --- Data mining --- Database management --- Computer Science --- Engineering & Applied Sciences --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Information warehousing --- Warehousing, Data --- Business. --- Management. --- Operations research. --- Decision making. --- Information technology. --- Business --- Computers. --- Information storage and retrieval. --- Business and Management. --- IT in Business. --- Information Storage and Retrieval. --- Database Management. --- Operation Research/Decision Theory. --- Information Systems and Communication Service. --- Data processing. --- Electronic data processing --- Database searching --- Management information systems --- Multidimensional databases --- Information storage and retrieva. --- Information systems. --- Operations Research/Decision Theory. --- Administration --- Industrial relations --- Organization --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Business—Data processing. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Decision making

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This book constitutes thoroughly refereed short papers of the 24th European Conference on Advances in Databases and Information Systems, ADBIS 2020, held in August 2020. ADBIS 2020 was to be held in Lyon, France, however due to COVID-19 pandemic the conference was held in online format. The 18 presented short research papers were carefully reviewed and selected from 69 submissions. The papers are organized in the following sections: data access and database performance; machine learning; data processing; semantic web; data analytics.

Database management. --- Artificial intelligence. --- Application software. --- Data mining. --- Database Management. --- Artificial Intelligence. --- Information Systems Applications (incl. Internet). --- Computer Applications. --- Data Mining and Knowledge Discovery. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Databases

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Most of modern enterprises, institutions, and organizations rely on knowledge-based management systems. In these systems, knowledge is gained from data analysis. Nowadays, knowledge-based management systems include data warehouses as their core components. The purpose of building a data warehouse is twofold. Firstly, to integrate multiple heterogeneous, autonomous, and distributed data sources within an enterprise. Secondly, to provide a platform for advanced, complex, and efficient data analysis. Data integrated in a data warehouse are analyzed by the so-called On-Line Analytical Processing (OLAP) applications designed among others for discovering trends, patterns of behavior, and anomalies as well as for finding dependencies between data. Massive amounts of integrated data and the complexity of integrated data that more and more often come from WEB-based, XML-based, spatio-temporal, object, and multimedia systems, make data integration and processing challenging. The objective of NEW TRENDS IN DATA WAREHOUSING AND DATA ANALYSIS is fourfold: First, to bring together the most recent research and practical achievements in the DW and OLAP technologies. Second, to open and discuss new, just emerging areas of further development. Third, to provide the up-to-date bibliography of published works and the resource of research achievements for anyone interested in up-to-date data warehouse issues. And, finally, to assist in the dissemination of knowledge in the field of advanced DW and OLAP. Stanislaw Kozielski works as a professor at the Silesian University of Technology, Poland. In 1977 he earned his Ph.D. in computer science (model building for information systems). In 1988 he received the D.Sc. in computer science (database design), and in 1997 he received the professor title in computer science. Between 1971-1991 and 2002-2007 he took part in several research, academic and industrial projects on software tools design, databases, information systems design, and information technologies. Between 1991-1996 he was the vice-dean and in 1996-2002 he was the dean of the Faculty of Automatic Control, Electronics and Computer Science of the Silesian University of Technology. His main research areas encompass databases (design, query languages), data warehouse technologies (efficiency, multidimensional modeling), and distributed processing (database query). Dr. hab. Robert Wrembel is an Assistant Professor in the Institute of Computing Science at Poznan University of Technology, Poland. In 2008 he received the post-doctoral degree in computer science, specializing in database systems and data warehouses. He was elected a deputy dean of the Faculty of Computing Science and Management for the period Sept. 2008 - Aug. 2011. Since 1996 he has been actively involved in five research projects on databases and four industrial projects in the field of information technologies. He has paid a number of visits to research and education centers, including INRIA Paris-Rocquencourt (France), the Paris Dauphine University (France), Klagenfurt University (Austria), and Loyola University (USA). His main research interests encompass data warehouse technologies (temporal, multiversion, object-relational) and object-oriented systems (views, data access optimization, methods and views materialization).

data warehousing --- gegevensanalyse

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This volume is the second one of the 16th East-European Conference on Advances in Databases and Information Systems (ADBIS 2012), held on September 18-21, 2012, in Poznań, Poland. The first one has been published in the LNCS series.   This volume includes 27 research contributions, selected out of 90. The contributions cover a wide spectrum of topics in the database and information systems field, including: database foundation and theory, data modeling and database design, business process modeling, query optimization in relational and object databases, materialized view selection algorithms, index data structures, distributed systems, system and data integration, semi-structured data and databases, semantic data management, information retrieval, data mining techniques, data stream processing, trust and reputation in the Internet, and social networks. Thus, the content of this volume covers the research areas from fundamentals of databases, through still hot topic research problems (e.g., data mining, XML data processing), to novel research areas (e.g., social networks, trust and reputation, and data stream processing). The editors of this volume believe that its content will inspire the researchers with new ideas for future development. It may also serve as an overview of the ongoing work in the field of databases and information systems.

Applied physical engineering --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- database management --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- robots

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This volume is the second one of the 16th East-European Conference on Advances in Databases and Information Systems (ADBIS 2012), held on September 18-21, 2012, in Poznań, Poland. The first one has been published in the LNCS series.   This volume includes 27 research contributions, selected out of 90. The contributions cover a wide spectrum of topics in the database and information systems field, including: database foundation and theory, data modeling and database design, business process modeling, query optimization in relational and object databases, materialized view selection algorithms, index data structures, distributed systems, system and data integration, semi-structured data and databases, semantic data management, information retrieval, data mining techniques, data stream processing, trust and reputation in the Internet, and social networks. Thus, the content of this volume covers the research areas from fundamentals of databases, through still hot topic research problems (e.g., data mining, XML data processing), to novel research areas (e.g., social networks, trust and reputation, and data stream processing). The editors of this volume believe that its content will inspire the researchers with new ideas for future development. It may also serve as an overview of the ongoing work in the field of databases and information systems.

Database management -- Congresses. --- Databases -- Congresses. --- Information technology -- Congresses. --- Database management --- Information technology --- Engineering & Applied Sciences --- Computer Science --- Engineering. --- Database management. --- Artificial intelligence. --- Computational intelligence. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Database Management. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Construction --- Industrial arts --- Technology --- Artificial Intelligence.