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Ontology Services-Based Information Integration in Mining Telecom Business Intelligence
[chapter]
2004
Lecture Notes in Computer Science
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Ordinary implementation of mining telecom business intelligence (BI) is to simply pack data warehouse (DW), OLAP and data mining engines together. ...
unified naming and directory of ontology services, metadata management and rule generation for ontology mapping and query parsing among conceptual view, analytical view and physical view from top down ...
OLAP and Data Mining (DM). ...
doi:10.1007/978-3-540-28633-2_11
fatcat:fjktxcx4eveohmvthrobkmzcsy
An Approach for Developing Platform of OLAP
2019
DEStech Transactions on Computer Science and Engineering
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The functions of the system include database access, data preprocessing, data mining, and data visualization. In this paper, a developing platform model Architecture for OLAP is introduced. ...
This may prevent the usage of mining from online decision support for multidimensional data. ...
Based on this data warehouse, it supports OLAP and data mining tasks. The data mining subsystem includes several algorithms, and provides a task manager and a task processing engine for data mining. ...
doi:10.12783/dtcse/aicae2019/31458
fatcat:63q3m6s34vfvzggjcmuat3mbje
A FRAMEWORK FOR SPATIO-TEMPORAL DATA WAREHOUSE
2005
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
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When users apply certain kind of data services, STDW identifies the right data by metadata management system, then start data processing tools to form a data product which serves the data mining and OLAP ...
data process (STDP), spatial data mining (SDM) and etc. ...
data mining for the simulation and retrieval of change processes, the spatial field mining for geographical distribution of topic information, the attribute field mining of spatial correlation and clustering ...
doi:10.24297/ijct.v4i1c.3114
fatcat:6moi4e7xcrclnbhgjun4pvv6bi
Database technology for decision support systems
2001
Computer
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As Figure 1 shows, these issues correlate to a decision support system's three principal components: a data warehouse server, online analytical processing and data mining tools, and back-end tools for ...
Data warehouses exist principally for decision support applications and provide the historical, summarized, and consolidated data more appropriate ...
In fact, data mining platforms use OLAP or relational servers to meet their data preparation requirements. ...
doi:10.1109/2.970575
fatcat:2il3danygbhxnanzwt33kfnpie
Data Warehousing and OLAP Technology
2014
Journal of advance research in computer science & enigneering
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Data warehouse provides an effective way for the analysis and tatic to the mass data and helps to do the decision making. ...
Data warehousing and Online Analytical Processing (OLAP) are essential elements of decision support, which has increasingly become a focus of the database industry. ...
They use a relational or extended-relational DBMS to store and manage warehouse data, and OLAP middleware to support missing pieces. ...
doi:10.53555/nncse.v1i3.521
fatcat:frwfdan6gnhezeae2h3hvpermu
Discovering OLAP dimensions in semi-structured data
2012
Proceedings of the fifteenth international workshop on Data warehousing and OLAP - DOLAP '12
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OLAP cubes are obtained from the input data based on the available attributes and known relationships between them. ...
New elements are discovered by means of data mining and other techniques and are therefore expected to be of limited temporal validity. ...
Related Work The work related to our contribution can be subdivided into three major sections: 1) integrating data warehousing and mining, 2) OLAP for complex data, and 3) social network data analysis. ...
doi:10.1145/2390045.2390048
dblp:conf/dolap/MansmannRWS12
fatcat:vewta2bz2zahzkapuejgg3tsbq
Discovering OLAP dimensions in semi-structured data
2014
Information Systems
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OLAP cubes are obtained from the input data based on the available attributes and known relationships between them. ...
New elements are discovered by means of data mining and other techniques and are therefore expected to be of limited temporal validity. ...
Related Work The work related to our contribution can be subdivided into three major sections: 1) integrating data warehousing and mining, 2) OLAP for complex data, and 3) social network data analysis. ...
doi:10.1016/j.is.2013.09.002
fatcat:377h5bhyvvfg7j5j6cbgo7xh3a
MSMiner—a developing platform for OLAP
2007
Decision Support Systems
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The system is constructed on a data warehouse and integrated with a number of data mining algorithms. It is well suited for on-line analytical processing (OLAP). ...
The characteristics of MSMiner include the ability to support multiple data sources and data mining strategies, additional organizational flexibility in regard to data and mining strategies, and the powerful ...
OLAP The OLAP is realized by two ways: creating special multidimensional OLAP (MOLAP) and simulating the multidimensional data by using the relational OLAP (ROLAP). ...
doi:10.1016/j.dss.2004.11.006
fatcat:khm7un27tncpzn2pzecph3zo4q
Towards a Data Warehouse Architecture for Managing Big Data Evolution
2018
Proceedings of the 7th International Conference on Data Science, Technology and Applications
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However, due to the emergence of big data technologies and the necessity to perform OLAP analysis over big data, innovative methods must be developed also to support evolution of data warehouse that is ...
worldwide in the context of relational database environments. ...
/VIAA/1/16/057 "Handling Adaptation of Big Data Warehouse" and by University of Latvia project No. AAP2016/B032 "Innovative information technologies". ...
doi:10.5220/0006886100630070
dblp:conf/data/SolodovnikovaN18
fatcat:fzh6jms2lzgq5kqnrx7vxe5zvu
Discovering Dynamic Classification Hierarchies in OLAP Dimensions
[chapter]
2012
Lecture Notes in Computer Science
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Such capturing of the dynamic characteristic of the data adds more intelligence to the analysis and extends the limits of OLAP. ...
These constraints appear too rigid for many data sets, especially semi-structured ones, such as user-generated content in social networks and other web applications. ...
Usman et al. review the research literature on coupling OLAP and data mining in [17] and propose a conceptual model for combining enhanced OLAP with data mining systems. ...
doi:10.1007/978-3-642-34624-8_48
fatcat:lmynmjnewbev7krdfpeadz4rry
Knowledge Grid Support for Treatment of Traumatic Brain Injury Victims
[chapter]
2003
Lecture Notes in Computer Science
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It is clear from the data presented in many international studies, that improvement of outcomes is useful not only for the patients, but also for entire national economy. ...
tools, which will enable them to discover and access relevant knowledge and information from different distributed and heterogeneous data sources. ...
Conclusions In this paper we have described the project effort, which focuses on the application and extension of the Grid technology to a completely new and societally important category of applications ...
doi:10.1007/3-540-44839-x_48
fatcat:pgotfhkot5bnpd3kfk5ku6gnoa
The role of the modern informatics systems in assisted decisions
2016
Annals of Spiru Haret University Economic Series
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After that, we made references to the following solution of business intelligence: data warehouse, data cube OLAP and data mining. ...
We presented their characteristics, advantages and disadvantages of usage one or another. ...
Such a data warehouse becomes a valuable data source for OLAP, but also for data mining process. Data mining can be used for data cleaning and integration. data infrastructure processing. ...
doi:10.26458/1445
fatcat:7q4paggsk5hvbgsjgb447r5yuy
Innovative Approaches for efficiently Warehousing Complex Data from the Web
[article]
2017
arXiv
pre-print
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data warehouses, (2) associating data mining to OLAP to allow elaborated analysis tasks for complex data and (3) schema evolution in complex data warehouses for personalized analyses. ...
Research in data warehousing and OLAP has produced important technologies for the design, management and use of information systems for decision support. ...
Related work: coupling OLAP and data mining The major difficulty when combining OLAP and data mining is that traditional data mining algorithms are mostly designed for tabular datasets organized in individual-variable ...
arXiv:1701.08643v1
fatcat:2u67xdmvsnfizieie2qtajfmze
Modeling and OLAPing social media: the case of Twitter
2015
Social Network Analysis and Mining
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We expect our proposed approach to be applicable for analyzing the data of other social networks as well. ...
We attempt to extend the established online analytical processing (OLAP) technology to allow multidimensional analysis of social media data. ...
through Data Mining methods and other computations. ...
doi:10.1007/s13278-015-0286-9
fatcat:zfdabsitind3hniiouwpjkknty
Graph BI & Analytics: Current State and Future Challenges
[chapter]
2018
Lecture Notes in Computer Science
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They are used for modeling highly complex and interconnected domains, and efficiently solving emerging big data application. ...
This paper presents the current status and open challenges of graph BI and analytics, and motivates the need for new warehousing frameworks aware of the topological nature of graphs. ...
(2) the data size is large, but data warehouses and Online Analytical Processing (OLAP) analysis are suitable for storage, organization, synthesis and analysis of large volumes of data, and (3) graph mining ...
doi:10.1007/978-3-319-98539-8_1
fatcat:56fgfclobveifcbkwvbyejt5pi
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