Filters








1,084 Hits in 4.2 sec

Ontology Services-Based Information Integration in Mining Telecom Business Intelligence [chapter]

Longbing Cao, Chao Luo, Dan Luo, Li Liu
2004 Lecture Notes in Computer Science  
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

Zhuo CHEN
2019 DEStech Transactions on Computer Science and Engineering  
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

Lax Maiah, DR.A.GOVARDHAN DR.A.GOVARDHAN, DR. C.SUNIL KUMAR
2005 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY  
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

S. Chaudhuri, U. Dayal, V. Ganti
2001 Computer  
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

Vinayak Bhardwaj, Rincy Jacob
2014 Journal of advance research in computer science & enigneering  
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

Svetlana Mansmann, Nafees Ur Rehman, Andreas Weiler, Marc H. Scholl
2012 Proceedings of the fifteenth international workshop on Data warehousing and OLAP - DOLAP '12  
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

Svetlana Mansmann, Nafees Ur Rehman, Andreas Weiler, Marc H. Scholl
2014 Information Systems  
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

Zhongzhi Shi, Youping Huang, Qing He, Lida Xu, Shaohui Liu, Liangxi Qin, Ziyan Jia, Jiayou Li, Huijing Huang, Lei Zhao
2007 Decision Support Systems  
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

Darja Solodovnikova, Laila Niedrite
2018 Proceedings of the 7th International Conference on Data Science, Technology and Applications  
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]

Nafees Ur Rehman, Svetlana Mansmann, Andreas Weiler, Marc H. Scholl
2012 Lecture Notes in Computer Science  
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]

Peter Brezany, A. Min Tjoa, Martin Rusnak, Jarmila Brezanyova, Ivan Janciak
2003 Lecture Notes in Computer Science  
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

Robert Gabriel DRAGOMIR
2016 Annals of Spiru Haret University Economic Series  
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]

Fadila Bentayeb, Hadj Mahboubi, Cécile Favre, Omar Boussaïd
2017 arXiv   pre-print
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

Maha Ben Kraiem, Jamel Feki, Kaïs Khrouf, Franck Ravat, Olivier Teste
2015 Social Network Analysis and Mining  
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]

Amine Ghrab, Oscar Romero, Salim Jouili, Sabri Skhiri
2018 Lecture Notes in Computer Science  
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
« Previous Showing results 1 — 15 out of 1,084 results