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An Intelligent Approach for Data Analysis and Decision Making in Big Data: A Case Study on E-commerce Industry

EL FALAH Zineb, RAFALIA Najat, ABOUCHABAKA Jaafar
2021 International Journal of Advanced Computer Science and Applications  
The e-commerce industry is one of the industries that currently benefits most from the potential of big data collection and analysis.  ...  Big Data became an important part of marketing research and marketing strategies.  ...  The main focus of this study [35] is to use the Hadoop framework to analyze clickstream data collected from an online retail e-commerce website.  ... 
doi:10.14569/ijacsa.2021.0120783 fatcat:3jkpi24b7badpfv22h3huvwlhi

Data Mining in Electronic Commerce: Benefits and Challenges

Mustapha Ismail, Mohammed Mansur Ibrahim, Zayyan Mahmoud Sanusi, Muesser Nat
2015 International Journal of Communications, Network and System Sciences  
Based on that regard, data mining can be used to handle e-commerce enterprise services and explore patterns for online customers so companies can boost sales and the general productivity of the business  ...  Data M. Ismail et al. 502 mining as a whole is believed to be a good promoter of e-commerce. Presently, applying data mining to e-commerce has become a hot cake among businesses [1] .  ...  It can also be referred as techniques or algorithms of data mining. The most common patterns used in e-commerce are prediction, clustering and association rules.  ... 
doi:10.4236/ijcns.2015.812045 fatcat:y2bfh3a7zvaslct2m3mzd7zk5y

Lessons and Challenges from Mining Retail E-Commerce Data

Ron Kohavi, Llew Mason, Rajesh Parekh, Zijian Zheng
2004 Machine Learning  
The lessons and challenges are also widely applicable to data mining domains outside retail e-commerce.  ...  The architecture of Blue Martini Software's e-commerce suite has supported data collection, data transformation, and data mining since its inception.  ...  Acknowledgments We thank the members of the data mining team at Blue Martini Software for the numerous discussions and debates that have helped to shape the ideas in this paper.  ... 
doi:10.1023/b:mach.0000035473.11134.83 fatcat:ppgpdntzjrcuhmjfh6jl4kzpti

Personalizing E-Commerce with Data Mining [chapter]

Matthew Smith, Brent Wenerstrom, Christophe Giraud-Carrier, Steve Lawyer, Wendy Liu
2007 Studies in Computational Intelligence  
E-commerce greatly facilitates and enhances the level of interaction between a retailer and its customers, thus offering the potential for smarter marketing through thoughtful site design and analytics  ...  This chapter presents and illustrates the three stages of knowledge discovery that move e-retailers from simple on-line catalog providers to finely-tuned, customer-centric service providers.  ...  In this chapter, we present an intuitive, staged approach, that illustrates what may be accomplished in e-commerce using data mining.  ... 
doi:10.1007/978-3-540-37017-8_12 fatcat:fchi6m6yrrhwflflns36v73tve

Application of Data Mining in Knowledge Management: A Review

2021 International Journal of Advanced Trends in Computer Science and Engineering  
Data mining is one of the essential tools to capture knowledge. This paper explores the applications of data mining techniques that have been used in the knowledge management process.  ...  The discussion on the result is divided into four topics: (1) knowledge resource, (2) knowledge datasets, (3) data mining tasks, and (4) data mining algorithms.  ...  Electronic Commerce (e-commerce): E-commerce companies used data mining to utilize the knowledge that focuses on mining focuses on analyzing search logs or other activity logs of web users to find interesting  ... 
doi:10.30534/ijatcse/2021/061042021 fatcat:ojj5o3mmjfgcdbz72wzdse5uky

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

Abdul-Aziz Rashid Al-Azmi
2013 International Journal of Data Mining & Knowledge Management Process  
Mining tools such as data mining, text mining, and web mining are used to find hidden knowledge in large databases or the Internet.  ...  Enterprises use mining technologies to search vast amounts of data for vital insight and knowledge.  ...  Furthermore, market baskets implemented for e-tailers, another name for e-commerce retailers, are more effective because it is more easily exploited than traditional brick and mortar retailers, where certain  ... 
doi:10.5121/ijdkp.2013.3201 fatcat:urjcxelt7vbvzfmt2ynmenlc5u

An Assessment of Data Mining Based CRM Techniques for Enhancing Profitability

Abdur Rahman, M.N.A. Khan
2017 International Journal of Education and Management Engineering  
Data mining is used in organization for decision making and forecasting of prospective customers. We have studied recent literature related to use of data mining techniques for CRM.  ...  The critical review of the data mining techniques which are being used for CRM is provided in this paper.  ...  Ski resorts are using a new digital communication channels for M-commerce, the proliferation of digital devices and E-commerce.  ... 
doi:10.5815/ijeme.2017.02.04 fatcat:fofrphbeofce3cyuiut75sj3vi

Integrating E-Commerce and Data Mining: Architecture and Challenges [article]

Suhail Ansari, Ron Kohavi, Llew Mason, Zijian Zheng
2000 arXiv   pre-print
We show that the e-commerce domain can provide all the right ingredients for successful data mining and claim that it is a killer domain for data mining.  ...  We detail the mining workbench, which needs to provide multiple views of the data through reporting, data mining algorithms, visualization, and OLAP. We con-clude with a set of challenges.  ...  We wish to thank our clients for sharing their data with us and helping us refine our architecture and improve Blue Martini's products.  ... 
arXiv:cs/0007026v1 fatcat:zy77uebllnf5rirkspfhlknf54

Data Mining For Customer Relationship Management

Savitha S. Kadiyala, Alok Srivastava
2011 International Business & Economics Research Journal  
Hence the article discusses some of the existing data mining and CRM models and finally proposes an integrated model of data mining for CRM.  ...  In order to develop an integrated model it is important to understand the existing Data mining and CRM models.  ...  E-commerce solutions are being deployed at a pace like never before and with them is increasing the data about e-customers.  ... 
doi:10.19030/iber.v1i6.3946 fatcat:w4mbj64o7ngl7lnv7dbv5lzjpm

Internet Customer Segmentation Using Web Log Data

Jae Jeung Rho, Byeong-Joon Moon, Yoon-Jeong Kim, Dong-Hoon Yang
2011 Journal of Business & Economics Research  
We use the decision-tree method as a data-mining technique, and clustering analysis to segment customers.<span style="mso-spacerun: yes;">&nbsp; </span>We perform the study in two stages.  ...  that reveal customer behavior in the Internet channel, and to provide a useful online customer segmentation scheme.  ...  In other cases, web log data can be used to find different patterns in customers' behavior, which can be harnessed for e-commerce marketing.  ... 
doi:10.19030/jber.v2i11.2940 fatcat:khob5t6g4vcarjmfy2dlqxs6cm

Performance Analysis and Optimization of Customer E-Commerce using Data Segmentation Algorithm

2021 International Journal of Intelligent Communication, Computing and Networks  
The study proposes data segmentation modeling and optimizes classification algorithms for driving continuous e-commerce growth.  ...  The online retail industry is the world's largest growing sector having a vast amount of online sales data to promote and sell their products. However, overloaded data emerge on the customers' side.  ...  of an e-commerce website to perform segmentation.  ... 
doi:10.51735/ijiccn/001/20 fatcat:m74okwrrpfedlowyapu5uxqnqa

Market basket analysis visualization on a spherical surface

Ming C. Hao, Meichun Hsu, Umeshwar Dayal, Shu F. Wei, Thomas Sprenger, Thomas Holenstein, Robert F. Erbacher, Philip C. Chen, Jonathan C. Roberts, Craig M. Wittenbrink, Matti Grohn
2001 Visual Data Exploration and Analysis VIII  
ABSTRACT This paper discusses the visualization of the relationships in e-commerce transactions.  ...  This system is described as the following: (1) integrates a physics-based engine into a visual data mining platform; (2) uses a 3D spherical surface to visualize the cluster of related data items; and  ...  Also thanks to Patrick Barthelemy from "Template Graphics Software" for technical support and for allowing us to use their toolkits in our experiments.  ... 
doi:10.1117/12.424933 fatcat:zlgpzyqzu5a3bc2vdyaalmfz2q

Applying Data Visualization and Mining Techniques to Improvise Luxury Goods Promotion through E-Retail

Roma Chauhan, Ritu Chauhan, Alok Goel
2010 International Journal of Computer Applications  
The research paper explains the use of data mining to promote selling of luxury goods with in e-retailing value chain in order to facilitate process of data analysis and decision making.  ...  We have analyzed how launching a product in e-retail domain requires sufficient detailed results taken from effective data mining technique.  ...  With the advancement in the current internet technology and convenience driven retail environment, e-commerce poses an indispensable complimentary distribution channel for offline retailers.  ... 
doi:10.5120/772-1085 fatcat:ym3sda2bsncolksd6aiefugisu

Intricacies of Unstructured Data

Rajeshwari K Rai
2017 EAI Endorsed Transactions on Scalable Information Systems  
This research paper is an attempt to explore unstructured data that has taken the world of data science by storm.  ...  Handling the unprecedented growth of unstructured data is a big challenge faced by most data scientists.  ...  Introduction The boom in the usage of social media and e-commerce has led to massive collection of data specially unstructured data.  ... 
doi:10.4108/eai.25-9-2017.153151 fatcat:psvpfdrjqvdbnecztb4qwynkau

A survey of big data and machine learning

Surender Reddy Salkuti
2020 International Journal of Electrical and Computer Engineering (IJECE)  
, telecommunications, web and digital media, retailers, finance, e-commerce and customer service, etc.  ...  Finally, the challenges and opportunities of big data and machine learning are presented in this paper.  ...  Marketing and Sales ML is useful for fraud detection in transactions between buyers and sellers. E-commerce websites uses ML to recommend items based on previous items purchased or searched.  ... 
doi:10.11591/ijece.v10i1.pp575-580 fatcat:sfj6p7gf3bdaxh4o4hwfxh7lmu
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