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Mining Negative Association Rules

Tushar Mani
2012 IOSR Journal of Computer Engineering  
Association rule mining is a data mining task that discovers associations among items in a transactional database. Typical association rules consider only items enumerated in transactions.  ...  Indeed, mining for such rules necessitates the examination of an exponentially large search space.  ...  Introduction Association rule mining is a data mining task that discovers relationships among items in a transactional database.  ... 
doi:10.9790/0661-0364347 fatcat:xj5dkk54vzgujdpmz45qbqlj3y

Mining Positive and Negative Association Rule from Frequent and Infrequent Pattern based on IMLMS_GA

Nikky Rai, Susheel Jain, Anurag Jain
2013 International Journal of Computer Applications  
This paper shows an efficient algorithm (IMLMS-GA) for mining both positive and negative association rules in transaction databases.  ...  The goal of this study is to build up a new model for mining negative and positive (PR & NR) association rules out of transaction data sets.  ...  Pruning Strategy The above study suggest that, there can be a huge number of infrequent pattern set in transaction database, and only some of them are interesting for mining strong association rules .However  ... 
doi:10.5120/13555-1393 fatcat:r6tzvmunzrfbfn6lvefhdu55wi

Algorithm to Mine Positive and Negative Association Rules
ENGLISH

B. Ramasu bbareddy
2013 International Journal of Innovative Research in Computer and Communication Engineering  
Association rule mining is one of the most popular data mining techniques to find associations among items in a set by mining necessary patterns in a large database.  ...  In this paper, we propose an algorithm that mines positive and negative association rules without adding any additional measure and extra database scans.  ...  INTRODUCTION Association rule mining is a data mining task that discovers associations among items in a transactional database.  ... 
doi:10.15680/ijircce.2013.0104006 fatcat:4cw4ik2zyrfxthqmsijngkm6y4

Mining Hierarchical Negative Association Rules

David Taniar, Wenny Rahayu, Olena Daly, Hong-Quang Nguyen
2012 International Journal of Computational Intelligence Systems  
In this way, we can mine for both general and specialized rules of negative association between items.  ...  In this paper, we propose two algorithms for mining negative association rules by considering that items are organized in a hierarchy, and this hierarchy is reflected on the association rules we produce  ...  In this approach, Chi-squared statistic is employed for mining positive and negative association rules. Each different database transaction in the market basket denotes a cell in a contingency table.  ... 
doi:10.1080/18756891.2012.696905 fatcat:2ug7sdbge5czhg2fybatehoeiu

Algorithm to Mine Negative Association Rules
ENGLISH

B.Ramasubbareddy, K.Se kar, Dr.A.Ramamohanreddy
2012 International Journal of Innovative Research in Science, Engineering and Technology  
Association rule mining is one of the most popular data mining techniques to find associations among items in a set by mining necessary patterns in a large database.  ...  In this paper, we propose an algorithm that mines positive and negative association rules without adding any additional measure and extra database scans.  ...  INTRODUCTION Association rule mining is a data mining task that discovers associations among items in a transactional database.  ... 
doi:10.15680/ijirset.2012.0101014 fatcat:yv7gjnbs7naqhejtodhydcdicu

Mining positive and negative association rules

B. Ramasubbareddy, A. Govardhan, A. Ramamohanreddy
2010 2010 5th International Conference on Computer Science & Education  
Association rule mining is one of the most popular data mining techniques to find associations among items in a set by mining necessary patterns in a large database.  ...  In this paper, we propose an algorithm that mines positive and negative association rules without adding any additional measure and extra database scans.  ...  Introduction Association rule mining is a data mining task that discovers associations among items in a transactional database.  ... 
doi:10.1109/iccse.2010.5593755 fatcat:xmmr4kwngrec7nuashlniupkt4

A Seasonal and Multilevel Association Based Approach for Market Basket Analysis in Retail Supermarket

S. Rana, M. N. I. Mondal
2021 European Journal of Information Technologies and Computer Science  
In retail marketing, the transactional database consists of many itemsets that are frequent only in a particular season however not taken into consideration as frequent in general.  ...  Our main contribution is to discover the hidden seasonal itemsets and extract the seasonal associations among products in additionally with the traditional strong regular rules in transactional database  ...  The author extends thanks to Rajshahi University of Engineering & Technology and Pundra University of Science & Technology for providing the laboratory support for this research.  ... 
doi:10.24018/compute.2021.1.4.31 fatcat:o652r7s2kvhapgkmpdgeklscs4

An Efficient Algorithm to Automated Discovery of Interesting Positive and Negative Association Rules

Ahmed Abdul-WahabAl-Opahi, Basheer Mohamad
2015 International Journal of Advanced Computer Science and Applications  
Association Rule mining is very efficient technique for finding strong relation between correlated data. The correlation of data gives meaning full extraction process.  ...  For the discovering frequent items and the mining of positive rules, a variety of algorithms are used such as Apriori algorithm and tree based algorithm.  ...  DESCRIPTION OF POSITIVE AND NEGATIVE ASSOCIATION RULES Discovering association rules between items in large databases is a frequent task in knowledge discovery in database KDD.  ... 
doi:10.14569/ijacsa.2015.060623 fatcat:26g3liu7vjhlrpo65pkm3vx3u4

Mining for Mutually Exclusive Items in Transaction Databases

George Tzanis, Christos Berberidis
2007 International Journal of Data Warehousing and Mining  
Association rule mining is a popular task that involves the discovery of co-occurences of items in transaction databases.  ...  Several extensions of the traditional association rule mining model have been proposed so far, however, the problem of mining for mutually exclusive items has not been directly tackled yet.  ...  PRELIMINARIES The association rules mining paradigm involves searching for co-occurrences of items in transaction databases.  ... 
doi:10.4018/jdwm.2007070104 fatcat:gp5gxsa7tjgu5oblno7it7gy6e

An efficient algorithm for mining high utility itemsets with negative item values in large databases

Chun-Jung Chu, Vincent S. Tseng, Tyne Liang
2009 Applied Mathematics and Computation  
In this paper, we propose a novel method, namely HUINIV (High Utility Itemsets with Negative Item Values)-Mine, for efficiently and effectively mining high utility itemsets from large databases with consideration  ...  Hence, discovery of high utility itemsets with negative item values is important for mining interesting patterns like association rules.  ...  Introduction Mining of association rules in large databases is a well studied technique in the field of data mining with typical methods like Apriori [1, 2] .  ... 
doi:10.1016/j.amc.2009.05.066 fatcat:qffaliws5ncdxl5ghsrdi2wj6i

DATA MINING IN BANKING AND ITS APPLICATIONS-A REVIEW

Pulakkazhy
2013 Journal of Computer Science  
But this is a manual process and is error prone and time consuming due to large volume of transactional and historical data.  ...  Interesting patterns and knowledge can be mined from this huge volume of data that in turn can be used for this decision making process.  ...  The idea is to derive a set of strong association rules in the form of "A 1 ∧A 2 ∧ … A m ∧ B 1 ∧ B 2 ∧ … B n " where A j (for i∈{1… m}) and B j (for j∈{1… n}) are set of attribute-values Science Publications  ... 
doi:10.3844/jcssp.2013.1252.1259 fatcat:4gnn4gxsyzfe3ivkgj5fpkoocq

Applications of Data Mining Techniques in Life Insurance

A. B Devale
2012 International Journal of Data Mining & Knowledge Management Process  
We introduce different exhibits for discovering knowledge in the form of association rules, clustering, classification and correlation suitable for data characteristics.  ...  In this paper, we investigate the use of various data mining techniques for knowledge discovery in insurance business. Existing software are inefficient in showing such data characteristics.  ...  The support (s) for an association rule X Y is the percentage of transactions in the database that contain X U Y.DEFINITION 1.2.3.  ... 
doi:10.5121/ijdkp.2012.2404 fatcat:5c2d7acjtvgupk64ejntu4rahu

Improvements in Data Mining Association Rules Algorithm

Dai Li
2015 International Journal of Database Theory and Application  
Because of the traditional Apriori algorithm in data mining in the process of operation for a long time, and produce a large number of unrelated item sets, caused great waste of data space, so this article  ...  puts forward an improved Apriori algorithm based on SQL, increase degree by calculation method, for pruning association rules and is independent of item sets.  ...  In the field of data mining, the research of association rule mining to conduct more in-depth. Association rules is a set of transaction database has a certain relationship between rules.  ... 
doi:10.14257/ijdta.2015.8.2.01 fatcat:moffmxvdmzgczf4yadfzv42dta

Sequential Association Rules Based on Apriori Algorithm Applied in Personal Recommendation

Wang Yonggang
2016 International Journal of Database Theory and Application  
products the users may be interested in, and developing a reasonable marketing strategy. 258 Copyright ⓒ 2016 SERSC related mining towards the consumer behavior of a large number of users in the database  ...  Secondly, a large number of candidate data set have emerged in the process of association rule mining, using the Apriori algorithm, which may affect the efficiency of the operation.  ...  for association rule mining.  ... 
doi:10.14257/ijdta.2016.9.6.26 fatcat:iv5qoi2enrg3rhlfb3m6hskt5a

A quantitative correlation coefficient mining method for business intelligence in small and medium enterprises of trading business

C.F. Cheung, F.L. Li
2012 Expert systems with applications  
The traditional data mining methods based on association rules may be inadequate in completely uncovering the hidden patterns of sales based on transaction records.  ...  Business intelligence based on data mining has been one of the popular and indispensable tools for identifying business opportunity in sales and marketing of new products.  ...  The main challenge for association rule mining is how to reduce the time for data mining when a large number of transactions are being considered.  ... 
doi:10.1016/j.eswa.2011.10.021 fatcat:qj3gwpjvx5hijdpsytf35xq4zm
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