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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
Lo, E +5 more
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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
Lo, E +5 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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HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries
Proceedings of the VLDB Endowment, 2018On line analytical processing (OLAP) is an essential element of decision-support systems. However, OLAP queries can be biased and lead to perplexing and incorrect insights.
Babak Salimi +4 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
Ramakrishnan Srikant +2 more
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OLAP parallel query processing in clouds with C‐ParGRES
Concurrency and Computation, 2019The advent of big data technologies has changed the way many companies manage their data. Several companies moved their data to the cloud using the concept of database‐as‐a‐service (DBaaS).
Marcello W. M. Ribeiro +2 more
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Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems - PODS '02, 2002
In multidimensional data models intended for online analytic processing (OLAP), data are viewed as points in a multidimensional space. Each dimension has structure, described by a directed graph of categories, a set of members for each category, and a child/parent relation between members.
Carlos A. Hurtado, Alberto O. Mendelzon
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In multidimensional data models intended for online analytic processing (OLAP), data are viewed as points in a multidimensional space. Each dimension has structure, described by a directed graph of categories, a set of members for each category, and a child/parent relation between members.
Carlos A. Hurtado, Alberto O. Mendelzon
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2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), 2017
This paper provides an overview of some state-ofthe-art proposals in the context of querying encrypted OLAP data, along with critical discussion on open challenges and future research directions in the investigated topics.
Alfredo Cuzzocrea, Giorgio Mario Grasso
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This paper provides an overview of some state-ofthe-art proposals in the context of querying encrypted OLAP data, along with critical discussion on open challenges and future research directions in the investigated topics.
Alfredo Cuzzocrea, Giorgio Mario Grasso
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OLAP*: Effectively and Efficiently Supporting Parallel OLAP over Big Data
2013-
CUZZOCREA, Alfredo Massimiliano +2 more
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L-Store: A Real-time OLTP and OLAP System
International Conference on Extending Database Technology, 2016Arguably data is a new natural resource in the enterprise world with an unprecedented degree of proliferation. But to derive real-time actionable insights from the data, it is important to bridge the gap between managing the data that is being updated at
Mohammad Sadoghi +3 more
semanticscholar +1 more source
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 ...
Berthold Reinwald, W. Malloy, N. Colossi
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