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OLAP over uncertain and imprecise data

Doug Burdick, Prasad M. Deshpande, T. S. Jayram, Raghu Ramakrishnan, Shivakumar Vaithyanathan
2006 The VLDB journal  
We extend the OLAP data model to represent data ambiguity, specifically imprecision and uncertainty, and introduce an allocation-based approach to the semantics of aggregation queries over such data.  ...  While there is much work on representing and querying ambiguous data, to our knowledge this is the first paper to handle both imprecision and uncertainty in an OLAP setting.  ...  [18] and [6] study aggregation queries over imprecise data but do not consider data-level hierarchies (which are central to OLAP).  ... 
doi:10.1007/s00778-006-0033-y fatcat:7oj26fci2vh2vkuukjldcyrc5e

Probabilistic filters: A stream protocol for continuous probabilistic queries

Yinuo Zhang, Reynold Cheng
2013 Information Systems  
Integrated various systems in petroleum domain using probabilistic matching and semantic web technologies Enabled complex query execution over multiple data sources Had a field trial showing the feasibility  ...  Prediction in Social Networks Aug 2011 -Dec 2011 Developed a recommendation system for both Facebook events and academic events with open linked data enablement Spatial OLAP over Uncertain Data Mar 2009  ...  Lam and Y. Zhang. A Filter-based Protocol for Continuous Queries over Imprecise Location Data. In the 21 st Intl. Conference on Information and Knowledge Management (CIKM), October 2012. • Y.  ... 
doi:10.1016/j.is.2012.06.003 fatcat:pwnwr6sndbcopfffluuiefpouq

OLAP over Imprecise Data with Domain Constraints

Douglas Burdick, AnHai Doan, Raghu Ramakrishnan, Shivakumar Vaithyanathan
2007 Very Large Data Bases Conference  
They have provided a multiple-world semantics for such data, and developed efficient ways to answer OLAP aggregation queries over the imprecise facts.  ...  Several recent papers have focused on OLAP over imprecise data, where each fact can be a region, instead of a point, in a multidimensional space.  ...  RELATED WORK This is the first work we are aware of that addresses the issues of performing OLAP aggregation over imprecise and uncertain data with constraints.  ... 
dblp:conf/vldb/BurdickDRV07 fatcat:tnhdpgnqofbzlo3k3jvsvhhow4

Mining Uncertain and Probabilistic Data: problems, Challenges, Methods, and Applications

Jian Pei, Ming Hua
2008 Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD 08  
• Models for uncertain and probabilistic data • (coffee break) • OLAP on uncertain and probabilistic data • Mining uncertain and probabilistic data • Tools: querying uncertain and probabilistic data  ...  • Models for uncertain and probabilistic data • (coffee break) • OLAP on uncertain and probabilistic data • Mining uncertain and probabilistic data • Tools: querying uncertain and probabilistic data -Indexing  ... 
doi:10.1145/1401890.1551568 fatcat:lg2jfeisqfeeda5pbtzugy4jzu

BioStar models of clinical and genomic data for biomedical data warehouse design

Liangjiang Wang, Aidong Zhang, Murali Ramanathan
2005 International Journal of Bioinformatics Research and Applications  
It is highly desirable that data warehousing and online analytical processing technologies can be applied to biomedical data integration and mining.  ...  (xxxx) 'BioStar models of clinical and genomic data for biomedical data warehouse design', Int.  ...  Acknowledgements We thank Xian Xu and Daxin Jiang for helpful discussions. This work was supported by a grant from the National Science Foundation.  ... 
doi:10.1504/ijbra.2005.006903 pmid:18048122 pmcid:PMC2574433 fatcat:e45lggzmonatzosoc5lh2khifu

HANDLING IMPRECISION IN QUALITATIVE DATA WAREHOUSE: URBAN BUILDING SITES ANNOYANCE ANALYSIS USE CASE

F. Amanzougarene, M. Chachoua, K. Zeitouni
2013 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Based on computing with words methodology, we have extended classical multidimensional data model to allow the aggregation and analysis of qualitative data in OLAP environment.  ...  In this paper, we will focus our study on the representation and management of imprecision in annoyance analysis process.  ...  Compared to the state of the art, there exists several research works addressing aggregation over imprecise and uncertain data, among which those proposed in (Laurent, 2001; Molina, 2006; Burdick, 2007  ... 
doi:10.5194/isprsarchives-xl-2-w1-133-2013 fatcat:fnr4ryexr5gvnmbqe5lkvry5oi

Managing Complex Multidimensional Data [chapter]

Torben Bach Pedersen
2013 Lecture Notes in Business Information Processing  
Missing or incorrect values, etc.Semi-structured and unstructured data  Enabling analysis across structured, semi-structured, and unstructured data Imperfect (imprecise, uncertain, etc.) data Develop  ...  DW data) • Or imprecise and uncertain (sampling errors, data from analytical models) • The CW is virtual (dotted lines)data is spread throughout the cloud The Cloud Warehouse • Sources (different types  ... 
doi:10.1007/978-3-642-36318-4_1 fatcat:wd3m3zwjpnef3hpe6wmt5oxn3a

The use of intuitionistic fuzzy cube and operators in treating imprecision in data repositories

Dr.Sc. Ermir Rugova
2011 ILIRIA International Review  
Traditional data repositories introduced for the needs of business pro-cessing, typically focus on the storage and querying of crisp domains of data.  ...  As a result, current commercial data repositories have no facilities for either storing or querying imprecise/ approximate data.No significant attempt has been made for a generic and application- independent  ...  In the following sections, OLAP foundations are reviewed and a model aimed at resolving imprecision at the "Cube" or data level is proposed.  ... 
doi:10.21113/iir.v1i1.203 fatcat:2lwotjcmaffnreuxljqwmojblq

Decision Support in Uncertain Environments

Hany M. S. Lala, Kamal A. ElDahshan
2011 International Journal for Information Security Research  
There are ambiguities and vagueness in solar radiation records during a day.  ...  As a consequence, the development and adaptation of automatic knowledge acquisition techniques under uncertainty is entirely advisable. Among them fuzzy sets theory formulizes and  ...  Acknowledgements We would like to thank our colleagues at the Astronomy and meteorology department, faculty of science, Al Azhar University who supported us with the case study data.  ... 
doi:10.20533/ijisr.2042.4639.2011.0005 fatcat:yncfm4jusnbmroujd63k5gr5dm

DC Proposal: Online Analytical Processing of Statistical Linked Data [chapter]

Benedikt Kämpgen
2011 Lecture Notes in Computer Science  
To automatically, flexibly, and scalable integrate statistical Linked Data for expressive and reliable analysis, we propose to use expressive Semantic Web ontologies to build and evolve a well-interlinked  ...  The amount of Linked Data containing statistics is increasing; and so is the need for concepts of analysing these statistics.  ...  Varying data quality SLD may be incomplete, inaccurate, sparse, imprecise and uncertain; best-effort answers may be required.  ... 
doi:10.1007/978-3-642-25093-4_22 fatcat:4ahg6n73erd3lauji7hd45n5pi

A structure to support queries in object-oriented database using fuzzy XML tags

Bahareh Fahimian, Ali Harounabadi
2014 Management Science Letters  
With the advances in this field, simple objects alone are not able to include complex data types and complex objects are necessary.  ...  Every day, we deal with the information, which are under uncertainty and managing this type of information with classical database systems brings a disadvantageous loss of data semantics along.  ...  (OODB) with imprecise and uncertain information.  ... 
doi:10.5267/j.msl.2014.10.011 fatcat:mpgut25udnb7fihkkhrvzpnmbi

Database architectures: Current trends and their relationships to environmental data management

Jaroslav Pokorný
2006 Environmental Modelling & Software  
They include, among other things, sensor networks, stream processing, processing uncertain and imprecise data, knowledge discovery and intelligent data analysis, as well as wireless broadcast and mobile  ...  With a production of huge data sets and their processing in real-time applications, the needs for environmental data management have grown significantly.  ...  Moreover, in comparison to enterprise data processing, these data are uncertain or imprecise.  ... 
doi:10.1016/j.envsoft.2006.05.004 fatcat:4cf26ddv7nhrnghwlzboxzegne

A Survey of Uncertain Data Algorithms and Applications

C.C. Aggarwal, P.S. Yu
2009 IEEE Transactions on Knowledge and Data Engineering  
In the field of uncertain data management, we will examine traditional database management methods such as join processing, query processing, selectivity estimation, OLAP queries, and indexing.  ...  In this paper, we provide a survey of uncertain data mining and management applications. We will explore the various models utilized for uncertain data representation.  ...  The US and UK governments are authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notice hereon.  ... 
doi:10.1109/tkde.2008.190 fatcat:7htcj7pcqnholig7v2ledsdqom

Lahar demonstration

Julie Letchner, Christopher Ré, Magdalena Balazinska, Matthai Philipose
2009 Proceedings of the VLDB Endowment  
Lahar is a warehousing system for Markovian streams-a common class of uncertain data streams produced via inference on probabilistic models.  ...  Lahar supports OLAP-style queries on Markovian stream archives by leveraging novel approximation and indexing techniques that efficiently manipulate stream probabilities.  ...  Acknowledgements This work was partially supported by NSF Grants IIS-0713123, CNS-0454425, IIS-0513877, IIS-0627585, and CRI-0454394; by gifts from Intel Research; and by M.  ... 
doi:10.14778/1687553.1687605 fatcat:fvitfmipfveqpc7tcjvip7yeoy

A foundation for capturing and querying complex multidimensional data

Torben Bach Pedersen, Christian S. Jensen, Curtis E. Dyreson
2001 Information Systems  
On-line analytical processing (OLAP) systems considerably improve data analysis and are finding wide-spread use. OLAP systems typically employ multidimensional data models to structure their data.  ...  The model reuses the common multidimensional concepts of dimension hierarchies and granularities to capture imprecise data.  ...  Ross and Patrick O'Neil and the expert anonymous reviewers. Their constructive and insightful comments improved the paper substantially.  ... 
doi:10.1016/s0306-4379(01)00023-0 fatcat:ctyu3puxtrdarlqtejx7jtvy74
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