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MAPREDUCE RESEARCH ON WAREHOUSING OF BIG DATA
2018
International Journal of Recent Trends in Engineering and Research
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This paper provides an overview on research and attempts to incorporate MapReduce with data warehouse in order to empower it for handling of big data. ...
However, traditional support for extraction of knowledge from mostly transactional data -data warehouse -can no longer cope with large amounts of fast incoming various, unstructured data -big data -and ...
stored in a lattice model; using views to access fewer databut, one of the most applied approaches is the query push-down technique, i.e. moving the computation to the data, which is guided by the thought ...
doi:10.23883/ijrter.2018.4170.raqfm
fatcat:jdmegv5vrrdttp5a2dw53rydee
Graph BI & Analytics: Current State and Future Challenges
[chapter]
2018
Lecture Notes in Computer Science
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We survey the topics of graph modeling, management, processing and analysis in graph warehouses. ...
In an increasingly competitive market, making well-informed decisions requires the analysis of a wide range of heterogeneous, large and complex data. ...
Afterwards, given a graph lattice, the graph cubes enable the computation and the aggregation of corresponding graph cuboids. ...
doi:10.1007/978-3-319-98539-8_1
fatcat:56fgfclobveifcbkwvbyejt5pi
A Graph-oriented Framework for Online Analytical Processing
2022
International Journal of Advanced Computer Science and Applications
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Second, we propose a data cube materialization through the precomputation of aggregated nodes. ...
The same dataset is stored in a relational data warehouse in order to compare storage space and query performance. ...
data cube materialization over graph database. ...
doi:10.14569/ijacsa.2022.0130564
fatcat:lx6xxrgmhzdolkhnuda7owsfdy
Partial materialization for online analytical processing over multi-tagged document collections
2015
Knowledge and Information Systems
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Such collections can be viewed as high-dimensional document cubes against which browsers and search systems can be applied in a manner similar to online analytical processing against data cubes. ...
queries over tags. ...
Acknowledgments Financial assistance from NSERC's PGS program, NSERC's Business Intelligence Network, Mitacs, and the University of Waterloo is greatly appreciated. ...
doi:10.1007/s10115-015-0871-2
fatcat:nevi7g7fk5fx3in54cthrg5qam
Multidimensional cyclic graph approach: Representing a data cube without common sub-graphs
2011
Information Sciences
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A data cube can be defined as a lattice of cuboids. In order to be a lattice, any two cuboids must have a least upper bound and a greatest lower bound according to the 0 ordering. ...
Each group-by, called a cuboid or view, corresponds to a set of cells, described as tuples over the cuboid dimensions. Each cuboid can be computed using the results from another one. ...
Selective materialization of views [14] represent another important set of approaches, methods, techniques, tools to compute partial data cubes. ...
doi:10.1016/j.ins.2010.05.012
fatcat:5tc5guji2jajfj3bn5wabxewla
A Personalized Smart Cube for Faster and Reliable Access to Data
2013
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Data cubes play an essential role in facilitating fast Online Analytical Processing (OLAP) in many multi-dimensional data warehouses. ...
Another issue is that most OLAP tools often causes users to be lost in the ocean of data while performing data analysis. Often, most users are interested in only a subset of the data. ...
Materialized views are defined and their role in a data warehouse is also anlayzed. In Section 2.2, we concentrate on OLAP architectures and also define the concept of data cube materialization. ...
doi:10.20381/ruor-3419
fatcat:jzg4ji7hcvflljyqmmpanzqabm
Exploratory mining of collaborative social content
2013
Proceedings of the 2013 Sigmod/PODS Ph.D. symposium on PhD symposium - SIGMOD'13 PhD Symposium
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When the ratings are viewed as tuples in a data warehouse, this notion of group coincides with the definition of cuboids in the data cube literature. ...
be viewed as depending on the parameters: R I ( R + I , R − I ), the set of ratings over item set I; n ′ , the number of cuboids in rating lattice covering at least one rating from R I ; and k, the number ...
explain our algorithms in a boolean framework; they can be readily generalized to handle other data types. ...
doi:10.1145/2483574.2483584
dblp:conf/sigmod/Das13
fatcat:umkl6mvkkre73mwledmv55inua
A REVIEW DATA CUBE ANALYSIS METHOD IN BIG DATA ENVIRONMENT
2015
unpublished
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However, data cubes are widely used as a powerful tool to provide multi-dimensional views in data warehousing and On-Line Analytical Processing (OLAP). ...
Therefore, it is becoming expensive to perform the data cube analysis when the data sizes increases. In this paper, we will investigate and review the methods of MapReduce in Hadoop. ...
of data over multiple dimensions (D. ...
fatcat:bjq6n3dldfb45or7iq6vt5iki4
On querying and mining semantic-aware mobility timelines
2016
International Journal of Data Science and Analytics
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In particular, we provide solutions for developing real-world semantic-aware moving object database and trajectory data warehouse systems and we devise respective query processing algorithms. ...
The explosion of available positioning information associated with the inferred or user-declared semantics of the respective locations has contributed in what is called the Big Data era by posing new challenges ...
Traditionally, aggregated information from DBs is stored in a Data Warehouse (DW), in the form of data cubes [2] . ...
doi:10.1007/s41060-016-0030-1
dblp:journals/ijdsa/SideridisPT16
fatcat:jrig2nyj4ncufgwxrd7lfv6koe
Artificial Intelligence Applied to Battery Research: Hype or Reality?
2021
Chemical Reviews
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It intends to create both accessibility of these tools to the chemistry and electrochemical energy sciences communities and completeness in terms of the different battery R&D aspects covered. ...
It addresses the concepts, approaches, tools, outcomes, and challenges of using AI/ML as an accelerator for the design and optimization of the next generation of batteries-a current hot topic. ...
parameter interdependencies. 210
Data Collection The first step for developing a data-driven approach consists of the implementation of suitable data acquisition and data management (data warehouse ...
doi:10.1021/acs.chemrev.1c00108
pmid:34529918
pmcid:PMC9227745
fatcat:ucgeyn4ke5gwrhmdpm446e6nzq
"SURVEY ON SPATIAL TEMPORAL DATA WAREHOUSING:-AN OVERVIEW"
2016
International Journal of Research in Computer & Information Technology (IJRCIT)
unpublished
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The research in field of spatial data warehouses has been on conceptual models, materialization of spatial indexes, aggregation operations and SOLAP. ...
In this paper we give an overview of the core concepts in a spatial data warehouse and recent advancements in the field. ...
A data warehouse consists of facts and dimension modeled in star or snowflake schema. Data cube is a lattice of cuboids which represent hierarchies. ...
fatcat:6cgsprdwjvc6zott46nkthkt7q
Structure-Aware Shape Processing
[article]
2012
Eurographics State of the Art Reports
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We discuss common models of structure, their implementation in terms of mathematical formalism and algorithms, and explain the key principles in the context of a number of state-ofthe- art approaches. ...
The algorithms broadly consist of two key phases: an analysis phase, which extracts structural information from input data; and a (smart) processing phase, which utilizes the extracted information for ...
Recent developments have taken the data-driven approach, in particular by learning structural invariants from a set of examplars. ...
doi:10.2312/conf/eg2013/stars/175-197
fatcat:hyuzml6cyvevvmm5zger46kw7u
Structure-aware shape processing
2013
SIGGRAPH Asia 2013 Courses on - SA '13
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explain the key principles in the context of a number of state-of-the-art approaches. ...
The algorithms broadly consist of two key phases: an analysis phase, which extracts structural information from input data; and a (smart) processing phase, which utilizes the extracted information for ...
Recent developments have taken the data-driven approach, in particular by learning structural invariants from a set of examplars. ...
doi:10.1145/2542266.2542267
dblp:conf/siggraph/MitraWZCKH13
fatcat:7r6aijrrcvhzzo7eaxnkpzqcje
Structure-aware shape processing
2014
ACM SIGGRAPH 2014 Courses on - SIGGRAPH '14
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explain the key principles in the context of a number of state-of-the-art approaches. ...
The algorithms broadly consist of two key phases: an analysis phase, which extracts structural information from input data; and a (smart) processing phase, which utilizes the extracted information for ...
Recent developments have taken the data-driven approach, in particular by learning structural invariants from a set of examplars. ...
doi:10.1145/2614028.2615401
dblp:conf/siggraph/MitraWZCKH14
fatcat:zxdl3vqra5e6jfiqfqnguqg234
Smart Cube Predictions for Online Analytic Query Processing in Data Warehouses
[article]
2021
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A data warehouse (DW) is a transformation of many sources of transactional data integrated into a single collection that is non-volatile and time-variant that can provide decision support to managerial ...
As a result, this thesis proposes an end-to-end adaptive learning ensemble for resource allocation of cuboids within a a DM to achieve a relevant and timely constructed smart cube before the time in need ...
It would require iterating over estimating the actual sizes of the materialized view, given a set of cuboids as the reduction in memory space is fully dependent on the intersection of data between all ...
doi:10.20381/ruor-26178
fatcat:de265fi2tbcq3aljqj7qfn3tsu
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