Results 171 to 180 of about 9,065 (221)
Proceedings of the 2008 ACM SIGMOD international conference on Management of data, 2008 Many kinds of real-life data exhibit logical ordering among their data items and are thus sequential in nature. However, traditional online analytical processing (OLAP) systems and techniques were not designed for sequence data and they are incapable of supporting sequence data analysis. In this paper, we propose the concept of Sequence OLAP, or S-OLAP
Eric Lo 0001 +5 more
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Data and Knowledge Engineering, 2009 Udgivelsesdato: May 2009On-line analytical processing (OLAP) systems based on a dimensional view of data have found widespread use in business applications and are being used increasingly in non-standard applications.
Torben Bach Pedersen +2 more
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An architecture for stream OLAP exploiting SPE and OLAP engine
2015 IEEE International Conference on Big Data (Big Data), 2015Explosive increase of real-time data sources, so-called "data streams" (or just "steams") and increasing demands for real-time analysis over streams give rise to realtime analysis over streams. However, developing tailor-made systems for such applications is not always desirable due to high developing costs and long developing periods.
Kousuke Nakabasami +4 more
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Hand-OLAP: a system for delivering OLAP services on handheld devices
The Sixth International Symposium on Autonomous Decentralized Systems, 2003. ISADS 2003., 2003-
Cuzzocrea, A. +2 more
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Proceedings of the 2005 ACM SIGMOD international conference on Management of data, 2005
We present techniques for privacy-preserving computation of multidimensional aggregates on data partitioned across multiple clients. Data from different clients is perturbed (randomized) in order to preserve privacy before it is integrated at the server. We develop formal notions of privacy obtained from data perturbation and show that our perturbation
Rakesh Agrawal 0001 +2 more
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We present techniques for privacy-preserving computation of multidimensional aggregates on data partitioned across multiple clients. Data from different clients is perturbed (randomized) in order to preserve privacy before it is integrated at the server. We develop formal notions of privacy obtained from data perturbation and show that our perturbation
Rakesh Agrawal 0001 +2 more
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2008
In this paper, we present an OLAP framework for trajectories of moving objects. We introduce a new operator GROUP_TRAJECTORIES for group-by operations on trajectories and present three implementation alternatives for computing groups of trajectories for group-by aggregation: group by overlap, group by intersection, and group by overlap and intersection.
Oliver Baltzer +3 more
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In this paper, we present an OLAP framework for trajectories of moving objects. We introduce a new operator GROUP_TRAJECTORIES for group-by operations on trajectories and present three implementation alternatives for computing groups of trajectories for group-by aggregation: group by overlap, group by intersection, and group by overlap and intersection.
Oliver Baltzer +3 more
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Relational extensions for OLAP
IBM Systems Journal, 2002Enterprises have been storing multidimensional data, using a star or snowflake schema, in relational databases for many years. Over time, relational database vendors have added optimizations that enhance query performance on these schemas. During the 1990s many special-purpose databases were developed that could handle added calculational complexity ...
Nathan G. Colossi +2 more
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Privacy Preserving OLAP and OLAP Security
2009The problem of ensuring the privacy and security of OLAP data cubes (Gray et al., 1997) arises in several fields ranging from advanced Data Warehousing (DW) and Business Intelligence (BI) systems to sophisticated Data Mining (DM) tools. In DW and BI systems, decision making analysts aim at avoiding that malicious users access perceptive ranges of ...
CUZZOCREA A, V. RUSSO
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Proceedings of the ACM 11th international workshop on Data warehousing and OLAP, 2008
Since the early 1990s, On-Line Analytical Processing (OLAP) has been a well studied research topic that has focused on implementation outside the database, either with OLAP servers or entirely within the client computers. Our approach involves the computation and storage of OLAP cubes using User-Defined Functions (UDF) with a database management system.
Zhibo Chen 0002, Carlos Ordonez 0001
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Since the early 1990s, On-Line Analytical Processing (OLAP) has been a well studied research topic that has focused on implementation outside the database, either with OLAP servers or entirely within the client computers. Our approach involves the computation and storage of OLAP cubes using User-Defined Functions (UDF) with a database management system.
Zhibo Chen 0002, Carlos Ordonez 0001
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Ontologies and summarizability in OLAP
Proceedings of the 2010 ACM Symposium on Applied Computing, 2010Summarizability, i.e. the correctness of aggregation operations, is essential for OLAP analysis. Summarizability has commonly been studied in the context of dimension hierarchies, but the role of semantics of measure attributes and aggregation functions (sum, avg, min, max, count) has received less research interest.
Tapio Niemi, Marko Niinimäki
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