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EM-OLAP Framework

Jan Tyrychtr, Martin Pelikán, Hana Štiková, Ivan Vrana
2018 Business & Information Systems Engineering  
In the second part of the article, the authors create a multidimensional database prototype according to the new TEM method and design an OLAP application for econometric analysis.  ...  Econometrics is currently one of the most popular approaches to economic analysis.  ...  This procedure is carried out as follows: Research Approach We present our research approach, which consists of nine main phases for the creation of our innovative econometric OLAP framework (EM-OLAP  ... 
doi:10.1007/s12599-018-0533-5 fatcat:pk3kewafkbcivnenmjc4ypujqm

PARSIMONY: An Infrastructure for Parallel Multidimensional Analysis and Data Mining

Sanjay Goil, Alok Choudhary
2001 Journal of Parallel and Distributed Computing  
Further, we develop parallel algorithms for data mining on the multidimensional cube structure for attribute-oriented association rules and decision-tree-based classification.  ...  In this article we address (1) scalability in multidimensional systems for OLAP and multidimensional analysis and (2) integration of data mining with the OLAP framework.  ...  We compare the storage and operational efficiency in OLAP and multidimensional analysis of various sparse data storage schemes in [10] .  ... 
doi:10.1006/jpdc.2000.1691 fatcat:astshmqlj5am5muhag5snunefa

Integration of Data Mining and Data Warehousing: A Practical Methodology

Muhammad Usman, Russel Pears
2010 International Journal of Advancements in Computing Technology  
For the seamless integration, the mined data has to be modeled in form of a data warehouse schema. Schema generation process is complex manual task and requires domain and warehousing familiarity.  ...  To fulfill the growing analytical needs and to overcome the existing limitations, we propose a novel methodology in this paper that permits efficient analysis of mixed numeric and nominal data, effective  ...  For the integration of data mining methods with warehousing, authors in [38] proposed and developed an interesting association rule mining approach called Online Analytical Mining of association rules  ... 
doi:10.4156/ijact.vol2.issue3.4 fatcat:jsmrrhak3vhefl2psd6wewstta

M2Lgp: Mining Multiple Level Gradual Patterns

Yogi Satrya Aryadinata, Anne Laurent, Michel Sala
2013 Zenodo  
They have been integrated in many expert systems and rule-based systems, for instance to reason on knowledge such as "the greater the number of turns, the greater the number of car crashes".  ...  In many cases, this knowledge has been considered as a rule "the greater the number of turns → the greater the number of car crashes" Historically, works have thus been focused on the representation of  ...  The proposal proposes a definition of such fuzzy patterns and algorithms based on genetic programming in order to discover the most relevant parts of the universe (e.g. almost 0.2 and almost 0.8 in the  ... 
doi:10.5281/zenodo.1058052 fatcat:sc73aah4cjcnlhhpbxwnc3mqii

Classification of Micro Array Gene Expression Proposed using Statistical Approaches

Ms. Selva Mary. G, Asst. Prof. Sachin M. Bojewar
2014 IOSR Journal of Computer Engineering  
In our previous work, microarray gene classification by statistical analysis approach with Fuzzy Inference System (FIS) was proposed for precise classification of genes to their corresponding gene types  ...  To further substantiate and to analyze the performance, we conduct a comparative study in this work.  ...  Lately it has been demonstrated that analysis of data with the aid of Online Analytical Processing (OLAP) [6] tools alone is highly tedious; Mining association rules is a prototypical problem as the  ... 
doi:10.9790/0661-16213236 fatcat:ehvzaa6b4nh6tksznhpnwto7ge

Parallel OLAP query processing in database clusters with data replication

Alexandre A. B. Lima, Camille Furtado, Patrick Valduriez, Marta Mattoso
2009 Distributed and parallel databases  
We consider the problem of improving the performance of OLAP applications in a database cluster (DBC), which is a low cost and effective parallel solution for query processing.  ...  Our experimental validation is based on the implementation of our solution on the SmaQSS DBC middleware prototype.  ...  Acknowledgements This work was partially supported by CNPq and INRIA. The experiments presented in this paper were carried out using the Grid'5000 experimental testbed.  ... 
doi:10.1007/s10619-009-7037-8 fatcat:yo57te5zzngkpjg3c4zone27wq

Data Mining in Hospital Information System [chapter]

Jing-Song Li, Hai-Yan Yu, Xiao-Guang Zhang
2011 New Fundamental Technologies in Data Mining  
The emphasis of data mining is on an implementation of a general approach to rule based decision-making.  ...  An association rule is a model that identifies specific types of data associations.  ... 
doi:10.5772/14052 fatcat:pwoqc3v3p5henm2cqrbzjju7cq

A Novel Approach for Discovery Quantitative Fuzzy Multi-Level Association Rules Mining Using Genetic Algorithm

Saad M., Abeer A., Sameh G.
2016 International Journal of Advanced Research in Artificial Intelligence (IJARAI)  
With the genetic algorithm, a comprehensive search can be achieved and system automation is applied, because our model does not need the userspecified threshold of minimum support.  ...  To accelerate quantitative multilevel association rules searching and escape the extreme computation, in this paper, we propose a new genetic-based method with significant innovation to determine threshold  ...  Beginning approaches for quantitative association rule mining manages distinctive partitioning for transforming other attributes to binary ones which convey from a major problem that results in information  ... 
doi:10.14569/ijarai.2016.050607 fatcat:wxiz2fvqjbgo7iwsksxhhxqfpa

A Literature Study on Traditional Clustering Algorithms for Uncertain Data

S Sathappan, S Sridhar, D Tomar
2017 British Journal of Mathematics & Computer Science  
Numerous traditional Clustering algorithms for uncertain data have been proposed in the literature such as k-medoid, global kernel k-means, k-mode, u-rule, uk-means algorithm, Uncertainty-Lineage database  ...  The authors thank the referees for their helpful and constructive suggestions.  ...  Acknowledgement Article made as part of PhD thesis work of S. Sathappan under the valuable guidance of S. Sridhar, Doctorial Committee Member and D.C. Tomar, Research Guide.  ... 
doi:10.9734/bjmcs/2017/32697 fatcat:heafraeutff2vhnomcpbpihs24

Analytical Study of Association Rule Mining Methods in Data Mining

Bhavesh M. Patel, Vishal H. Bhemwala, Dr. Ashok R. Patel
2018 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
There are such a large amount of algorithms that provides simple and effective method of association rule mining, however still some analysis is required which might improve potency of association rule  ...  It's true that one paper isn't enough for complete analysis of all smart researches, however it'll facilitate in future to urge right direction towards association rule mining analysis for fascinating,  ...  both OLAP and data mining for more accurate results.Radhika et al. [60] conducted a research based on association rule mining based on ontological relational weights.  ... 
doi:10.32628/cseit1833244 fatcat:ndopsdk6enfr7hphvuhmiym43e

ProRes: Proactive re-selection of materialized views

Mustapha Mouna, Ladjel Bellatreche, Narhimene Boustia
2022 Computer Science and Information Systems  
Finally, extensive experiments are conducted using the Star Schema Benchmark data set to evaluate the effectiveness and efficiency of our approach.  ...  In the offline phase, we manage a set of the first queries based on a given threshold _ by selecting materialized views through a hypergraph structure.  ...  In [47] , a dynamic formalization of VSP is given by considering query scheduling policy based on a genetic algorithm.  ... 
doi:10.2298/csis210606003m fatcat:pnjhuvdlpbglxo6ppvqrkko4qe

Fragmenting very large XML data warehouses via K-means clustering algorithm

Alfredo Cuzzocrea, Jerome Darmont, Hadj Mahboubi
2009 International Journal of Business Intelligence and Data Mining  
We complete our analytical contribution by means of a comprehensive experimental assessment where we compare the efficiency of our proposed XML data warehouse fragmentation technique against those of classical  ...  XML data sources are more and more gaining popularity in the context of a wide family of Business Intelligence (BI) and On-Line Analytical Processing (OLAP) applications, due to the amenities of XML in  ...  Gorla and Betty [42] exploit association rules for vertical fragmentation of relational databases.  ... 
doi:10.1504/ijbidm.2009.029076 fatcat:wve3gtsfmnccvl2mnrp3q7ft3e

Gain ratio based fuzzy weighted association rule mining classifier for medical diagnostic interface

N S NITHYA, K DURAISWAMY
2014 Sadhana (Bangalore)  
In this paper, an enhanced approach, called gain ratio based fuzzy weighted association rule mining, is thus proposed for distinct diseases and also increase the learning time of the previous one.  ...  In the past, we have proposed an information gain based fuzzy association rule mining algorithm for extracting both association rules and membership functions of medical data to reduce the rules.  ...  Figure 2 . 2 Comparative analysis of execution time for min_support value for heart disease data.  ... 
doi:10.1007/s12046-013-0198-1 fatcat:lbjiozvforfgfe3e4raku2fcra

A Multi-level Thresholding-Based Method to Learn Fuzzy Membership Functions from Data Warehouse [chapter]

Dario Rojas, Carolina Zambrano, Marcela Varas, Angelica Urrutia
2011 Lecture Notes in Computer Science  
Validation is performed by comparing the proposal against a supervised learning approach based on clustering and genetic algorithms, including the application in response to queries in a Data Warehouse  ...  Learn fuzzy membership functions automatically for characterization and operation of fuzzy measures in Data Warehouse is a problem of recent concern.  ...  This work has been partially supported by MIDAL, Machine Learning and Data Analysis Laboratory and the University of Atacama (University Grant for Research and Artistic Creativity (Projects: Data Warehouse  ... 
doi:10.1007/978-3-642-25085-9_79 fatcat:nhmyroretnbs7hredqxvl6bqha

Topic oriented community detection through social objects and link analysis in social networks

Zhongying Zhao, Shengzhong Feng, Qiang Wang, Joshua Zhexue Huang, Graham J. Williams, Jianping Fan
2012 Knowledge-Based Systems  
We thank Chao Li and Shuang Wang for their critical reading and careful revisions of this manuscript.  ...  We greatly appreciate the reviewers and editor for their valuable suggestions and comments to improve this work.  ...  The initialization for and a i is as follows: The updating rules for matrix of Q p are as follows.  ... 
doi:10.1016/j.knosys.2011.07.017 fatcat:xbuse7wao5dhjp3orwdm3nj6bm
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