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A Proficient Approach of Incremental Algorithm for Frequent Pattern Mining

Endu Duneja, A.K. Sachan
2012 International Journal of Computer Applications  
In spite of their practical benefits, it is nontrivial to perform incremental mining or efficient mining of constrained association rules.  ...  The conundrum of mining association rules has drawn a lot of attention in the research community.  ...  INCREMENTAL MINING Certainly constrained mining of association rules is a stipulation for interactive mining but on the same basis incremental mining is also inevitable if we are ever implementing true  ... 
doi:10.5120/7467-0596 fatcat:3xjfbnav7zdhbccgmqg6efo364

Optimization of Association Rules Extraction Through Exploitation of Context Dependent Constraints [chapter]

Arianna Gallo, Roberto Esposito, Rosa Meo, Marco Botta
2005 Lecture Notes in Computer Science  
In this paper, we consider the problem of mining frequent association rules from database relations.  ...  We model a general, constraint-based, mining language for this task and study its properties w.r.t. the problem of re-using past results.  ...  -The mining constraints specify how to decide whether an association rule meets the user needs.  ... 
doi:10.1007/11558590_26 fatcat:g6d2rqfyubanjfma6meha3judu

Approximation of statistical implicative analysis to learning analytics

Rubén A. Pazmiño-Maji, Francisco J. García-Peñalvo, Miguel A. Conde-González
2016 Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality - TEEM '16  
The integration of new tools, methods and theories is necessary. The aim of this paper is to study the approximation of Statistical Implicative Analysis theory (SIA) to Learning Analytics (LA).  ...  The learning Analytics has been and is still an emerging technology, the amount of research on learning analysis are increasing every day.  ...   How increment the SIA contribution to Act step of LA stages?  SIA could contribute in Refine step of LA stages?  SIA could contribute very much in Association Rule Mining.  ... 
doi:10.1145/3012430.3012540 fatcat:3cbj3fbkkbbu5fk7mwnpwlikci

A Framework for Incremental Mining of Interesting Temporal Association Rules

Ahmed Sultan
2015 International Journal of Computer Applications  
Association rules are an important problem in data mining.  ...  In this paper, an incremental association rules mining algorithm is proposed that integrates interestingness criterion during the process of building the model called SUMA.  ...  , S.D., Kao, B.: A general Incremental Technique for Mining Discovered Association Rules, Proc.  ... 
doi:10.5120/ijca2015907433 fatcat:nv7rbchicnddrgz76hfwwq5rre

Incremental Meta-Mining from Large Temporal Data Sets [chapter]

Tamas Abraham, John F. Roddick
1999 Lecture Notes in Computer Science  
In this paper we extend this and present an approach that enable meta-rules to be found incrementally.  ...  In earlier work, we investigated the manner in which meta-rules, rules describing rules, could be discovered and used within a data mining system.  ...  and hence some of the strength of the associated rules may diminish.  ... 
doi:10.1007/978-3-540-49121-7_4 fatcat:nrrr6s6pm5fxxbd2essr4lt2ei

Incremental Mining Of Shocking Association Patterns

Eiad Yafi, Ahmed Sultan Al-Hegami, M. A. Alam, Ranjit Biswas
2009 Zenodo  
Massively increasing volume of data in real life databases has motivated researchers to design novel and incremental algorithms for association rules mining.  ...  Association rules are an important problem in data mining.  ...  RELATED WORK Several approaches have been proposed for developing incremental algorithms of association rules mining [13, 14, 15, 16, 17, 18] and mining of the frequent itemsets [16, 17, 18] .  ... 
doi:10.5281/zenodo.1082779 fatcat:7x33s7ywijcflit3lr2ddjarwe

Incremental and interactive sequence mining

S. Parthasarathy, M. J. Zaki, M. Ogihara, S. Dwarkadas
1999 Proceedings of the eighth international conference on Information and knowledge management - CIKM '99  
The discovery of frequent sequences in temporal databases is an important data mining problem.  ...  In this paper, we propose novel techniques for maintaining sequences in the presence of a) database updates, and b) user interaction (e.g. modifying mining parameters).  ...  Although the incremental [2, 3, 11] and interactive [1] mining problem has been studied for association rules, no work has been done for incremental and interactive sequential patterns.  ... 
doi:10.1145/319950.320010 dblp:conf/cikm/ParthasarathyZOD99 fatcat:ugpz3tsatbgorknwaos3ob3w5a

IPOC: an efficient approach for dynamic association rule generation using incremental data with updating supports

P. Naresh, R. Suguna
2021 Indonesian Journal of Electrical Engineering and Computer Science  
While incremental generation of tree, new data items will link to previous nodes in tree by increasing its support count.  ...  This removes the lagging issues in existing algorithms and does not need to mine from scratch and also reduces the time, memory consumption by the use of nodeset data structure.  ...  Dynamic itemset mining and association rule mining [16] has been challenging era in data mining from incremental datasets.  ... 
doi:10.11591/ijeecs.v24.i2.pp1084-1090 fatcat:l3vbscy6rbezvmt7dl4cduuv6i

A distributed OLAP infrastructure for e-commerce

Qiming Chen, U. Dayal, M. Hsu
1999 Proceedings Fourth IFCIS International Conference on Cooperative Information Systems. CoopIS 99 (Cat. No.PR00384)  
This is challenging data mining, both in terms of the magnitude of data involved, and the need to incrementally adapt the mined patterns and rules as new data is collected.  ...  Then, we show how customer profiles and different classes of association rules can be computed in a distributed, cooperative manner using OLAP tools.  ...  Figure 3: Distributed rule mining Incremental association rule mining requires combining partial results.  ... 
doi:10.1109/coopis.1999.792171 dblp:conf/coopis/ChenDH99 fatcat:6bd6n4ssebcxfo4ivif2zxlcqm

Text Clustering Using Incremental Frequent Pattern Mining Approach

AnandaRao A, SureshReddy G, Rajinikanth T.V
2015 International Journal of Data Mining & Knowledge Management Process  
We use incremental frequent pattern mining to find frequent items and reduce dimensionality. The improved distance metric may also be used to perform text classification.  ...  Text mining is an emerging research field evolving from information retrieval area.  ...  The major problem with finding negative association rules is the large number of rules which are generated as a result of mining.  ... 
doi:10.5121/ijdkp.2015.5605 fatcat:kfi5k7uf6vfeti6syiba2m4fqm

Target-Based, Privacy Preserving, and Incremental Association Rule Mining

Madhu V. Ahluwalia, Aryya Gangopadhyay, Zhiyuan Chen, Yelena Yesha
2017 IEEE Transactions on Services Computing  
We consider a special case in association rule mining where mining is conducted by a third party over data located at a central location that is updated from several source locations.  ...  Our results show high efficiency, privacy and accuracy of rules for small to moderate updates in large volumes of data.  ...  Dynamic Privacy Preserving Association Rule Mining. This figure shows the steps in incremental privacy preserving association rule mining that is controlled by a target system.  ... 
doi:10.1109/tsc.2015.2484318 fatcat:rhe3ppxsvff6zcimqs2gjcd5zi

Comparative Analysis of Various Approaches Used in Frequent Pattern Mining

Deepak Garg, Hemant Sharma
2011 International Journal of Advanced Computer Science and Applications  
and Incremental apriori based algorithms.  ...  A brief description of each technique has been provided. In the last, different frequent pattern mining techniques are compared based on various parameters of importance.  ...  COMPARISON OF APRIORI AND PRIMITIVE ASSOCIATION RULE MINING Comparison of the algorithms, Apriori and Primitive Association Rule Mining is given in this section.  ... 
doi:10.14569/specialissue.2011.010323 fatcat:r6d423sp6zeihhmevtddslk33u

Fuzzy Association Rule Mining- A Survey

Pramod Pardeshi, Ujwala Patil
2017 International Journal of Scientific Research in Computer Sciences and Engineering  
This paper presents a survey on various techniques such as fuzzy logic and rule mining for finding the customer behaviour that helps in better decision making and enhancing the performance of the system  ...  The rapid growth of web logs and texts has gained a lot of attention from the researchers for extracting the interesting rule for designing of the web pages, drawing the customer preference, analysing  ...  Association Rule Mining Association rules are one of the main techniques of data mining [4] .  ... 
doi:10.26438/ijsrcse/v5i6.1318 fatcat:frnmh3tfsbgj3dsbbbcj4ir52u

The Cut-off Grade and the Rationality of "The Rule of Thumb of Mines"

Takayoshi Shinkuma
1998 Studies in Regional Science  
There exists a rule of thumb of mines, which requires that the cut-off grade should decrease (increase) when the price of metal increases (decreases).  ...  The mining rule, however, has been considered as irrational by both resource economists and mining engineers. This work derives the conditions under which this rule has economic rationality.  ...  Acknowledgments I have benefited from the remarks of Eiji Hosoda, Tsutomu Tokimasa, Takashi Nishiyama and Takeshi Yamanaka.  ... 
doi:10.2457/srs.28.2_55 fatcat:5z6t6hag65h2nn5nzfehurvsdi

Robust Frequent Item set Mining on Massive Data

Dr. B. Indira and M. Surya Teja
2020 International journal of modern trends in science and technology  
Three pruning rules are presented to reduce the size of the involved candidates.  ...  Frequent item set mining is one of the significant operationswhich returns all item sets in the transaction table, that occur as a subset of specified fraction of the transactions.  ...  of database mining problems involving classification, associations, and sequences, and argued that these problems can be uniformly viewed as requiring discovery of rules embedded in massive data.  ... 
doi:10.46501/ijmtstciet29 fatcat:cclngsjforfhbcfi3okxkqyobi
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