Filters








1,038 Hits in 4.4 sec

A Improved Incremental and Interactive Frequent Pattern Mining Techniques for Market Basket Analysis and Fraud Detection in Distributed and Parallel Systems

K. K. Sherly, R. Nedunchezhian
2015 Indian Journal of Science and Technology  
Improved Incremental and Interactive Frequent Pattern Mining Techniques for Market Basket Analysis and Fraud Detection in Distributed and Parallel Systems  ...  Improved Incremental and Interactive Frequent Pattern Mining Techniques for Market Basket Analysis and Fraud Detection in Distributed and Parallel Systems 2012 and 2013, there has been nearly 15 percent  ... 
doi:10.17485/ijst/2015/v8i18/55109 fatcat:nwhutdffczag7phyr7554dfz6q

Data, Text and Web Mining for Business Intelligence : A Survey

Abdul-Aziz Rashid Al-Azmi
2013 International Journal of Data Mining & Knowledge Management Process  
Enterprises use mining technologies to search vast amounts of data for vital insight and knowledge.  ...  The Information and Communication Technologies revolution brought a digital world with huge amounts of data available.  ...  Through CRM data, BI tool can construct specific market baskets for certain groups of users that is more specific than the ordinary market baskets.  ... 
doi:10.5121/ijdkp.2013.3201 fatcat:urjcxelt7vbvzfmt2ynmenlc5u

Big Data in Retail Sector – An Evolution that Turned to a Revolution

2017 International Journal of Research Studies in Computer Science and Engineering  
buys, customersbudget, customers likes and dislikes etc.The research paper concentrates on highlighting the changes brought in the retail sector by big data.  ...  data.  ...   Bringing Market Basket Analysis to practice The Market Basket analysis has helped in figuring out what products customers are most likely to purchase together.  ... 
doi:10.20431/2349-4859.0404006 fatcat:j5edotdzdvbqvdyzw2iwjsqike

Business Intelligence: Achieving Fineness through Data, Text and Web Mining

Jitendra Singh
2015 International Journal of Computer Applications  
for fraud detection.  ...  Mining is used in predicting one of the most dynamic business environments of stock market.  ... 
doi:10.5120/ijca2015906691 fatcat:2kmzbvfxizh2fdc4f5szyvypvm

Discovering Golden Nuggets: Data Mining in Financial Application

D. Zhang, L. Zhou
2004 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
Data mining techniques have been used to uncover hidden patterns and predict future trends and behaviors in financial markets.  ...  There has been a large body of research and practice focusing on exploring data mining techniques to solve financial problems.  ...  For example, credit card fraud detection and stock market prediction may require different data mining techniques. Second, data mining is dependent upon the features of data.  ... 
doi:10.1109/tsmcc.2004.829279 fatcat:6jn4congq5cxre5g5kqwkhv7ey

Impacts of Data Mining on Relational Database Management System Centric Business Environments

Md. SajjatulIslam, Md. Zainal Abedin
2013 International Journal of Computer Applications  
As the data mining is still a young field but exploratory in nature so this research has also given the clear identification on the unresolved challenges on this track and recommendation for future works  ...  The aim of this research is to discover and analyze the crucial impacts of data mining (DM) on relational database management system (RDBMS) centric business domains.  ...  It has been able to resolve some significant challenges in business organizations [25] -that are Fraud detection analysis, customer segmentation, simplify market basket analysis, integration with different  ... 
doi:10.5120/13091-0371 fatcat:mpf523oibncolc3mu7guseooam

AN OVERVIEW OFASSOCIATION RULEMINING (ARM) ALGORITHMS FORMARKET BASKETANALYSIS (MBA)

Izang A.A, Goga Nicolae, Kuyoro Shade, Adetunji O
2017 Journal of research in engineering and applied sciences  
Market basket analysis (MBA) is paving the path in business as it has become the most widely used areas of data mining in marketing.  ...  A market basket comprises of products picked by a customer during the visit to a superstore. These work specifically focus on association rule mining algorithms and its application to MBA.  ...  out a survey on data mining algorithm for Market Basket Analysis.  ... 
doi:10.46565/jreas.2017.v02i04.001 fatcat:d5sdasxzkfg6bpjh7i2gmyvbny

Data Mining Methods and Techniques in Higher Education

Shilpa Kulkarni, Dr. Sasikala P
2022 IJARCCE  
Educational Data Mining (EDM) is an interdisciplinary research area focused on data mining's application in the field of education.  ...  It uses a number of tools and techniques from machine learning, statistics, data mining, and data analysis to analyses data created during teaching and learning.  ...  In market basket analysis, data mining results are utilized to discover customer behavior buying patterns and provide information on combinations of products purchased together.  ... 
doi:10.17148/ijarcce.2022.11242 fatcat:bzk24f7yqzfmhe7glzepwnegh4

Data science and AI in FinTech: An overview [article]

Longbing Cao, Qiang Yang, Philip S. Yu
2021 arXiv   pre-print
The research on data science and AI in FinTech involves many latest progress made in smart FinTech for BankingTech, TradeTech, LendTech, InsurTech, WealthTech, PayTech, RiskTech, cryptocurrencies, and  ...  Smart FinTech is the new-generation FinTech, largely inspired and empowered by data science and new-generation AI and (DSAI) techniques.  ...  -Banking: such as credit card fraud detection, credit scoring, and processing data quality issues.  ... 
arXiv:2007.12681v2 fatcat:jntzuwaktjg2hmmjypi5lvyht4

New Books in Review

George R. Franke
2003 Journal of Marketing Research  
Part 6 summarizes how data mining is applied to business problems including marketing, fraud detection, risk analysis, production control, and text mining.  ...  /market basket analysis, and other problems.  ... 
doi:10.1509/jmkr.40.3.372.19236 fatcat:3hdlmnattbfqdo3p264xu5kyee

A New Dynamic Distributed Algorithm for Frequent Itemsets Mining

Azam Adelpoor, Mohammad Saniee Abadeh
2013 International Journal of Computer Applications  
distributed data sets.  ...  In this paper, we have focused on distributed Apriori-Like frequent itemsets mining and proposed a distributed algorithm, called New Dynamic Distributed Frequent Itemsets Mining (NDD-FIM), for geographically  ...  It supports several interesting applications, ranging from fraud and intrusion detection, to market basket analysis over a wide area, to knowledge discovery from remote sensing data around the globe.  ... 
doi:10.5120/11472-7081 fatcat:zy4q4hw2tjaupgp3o4shvfujhu

A Novel Approach for Providing the Customer Churn Prediction Model using Enhanced Boosted Trees Technique in Cloud Computing

Kiranjot Kaur, Sheveta Vashisht
2015 International Journal of Computer Applications  
Proposed approach is then implemented on the cloud environment to provide the cloud facilities for mining the data.  ...  In today"s world of competition, organizations need to focus on customer relationship management.  ...  There are seven powerful techniques which are useful for this purpose [2] such as Cluster Detection, Memory-Based Reasoning, Market Basket Analysis, Generic Algorithms, Link Analysis, Decision Trees,  ... 
doi:10.5120/19987-6449 fatcat:vrqsu7hgljgqrnz7rsilzcdmly

A Comparative Study of Frequent and Maximal Periodic Pattern Mining Algorithms in Spatiotemporal Databases

O Obulesu, A Rama Mohan Reddy, M Mahendra
2017 IOP Conference Series: Materials Science and Engineering  
The first algorithm is, EFPMA (Extended Regular Model Detection Algorithm) used to find frequent sequential patterns from the spatiotemporal dataset and the second one is, ETMA (Enhanced Tree-based Mining  ...  Detecting regular and efficient cyclic models is the demanding activity for data analysts due to unstructured, vigorous and enormous raw information produced from web.  ...  Agrawal et al. (1994) , for market basket analysis in the form of association rule mining [1] .  ... 
doi:10.1088/1757-899x/225/1/012066 fatcat:cucm5zqgqve3lku3pt4ypa6rxu

Data mining meets economic analysis: opportunities and challenges

Baicoianu, A., Dumitrescu, S.
2010 Bulletin of the Transilvania University of Brasov. Series V : Economic Sciences  
In addition, we discuss about a new method based on Boolean functions, LAD, which is successfully applied to data analysis.  ...  The goal of this paper is to illustrate the impact of data mining techniques on sales, customer satisfaction and corporate profits.  ...  For example, almost every financial transaction is processed by a data mining application to detect fraud.  ... 
doaj:864019aa635a4450b0a83f0066f14131 fatcat:ksr4hgwuuzcqjpcxcfw6ykxu54

A Survey of Finding Trends in Data Mining Techniques for Social Media Analysis

A. C. Nanayakkara, B. T. G. S. Kumara, R. M. K. T. Rathnayaka
2021 Sri Lanka Journal of Social Sciences and Humanities  
Social media analytics with data mining technology could be an analysis axis centered on extracting trends, patterns, and rules from the social media pool, to serve the people and organizations to have  ...  , predominantly shifting from the batch scale to the streaming one.  ...  such as banking, insurance, sales and marketing, education, telecommunication, fraud detection, finance, medical, and so on S.Neelamegam, 2015; Pushpam & Jayanthi, 2017; .  ... 
doi:10.4038/sljssh.v1i2.36 fatcat:7ocsxet47zclhgxwbyubrrvoqe
« Previous Showing results 1 — 15 out of 1,038 results