Data Mining and Data Warehousing

2017 ◽  
pp. 312-337 ◽  
Author(s):  
Sathiyamoorthi V
Keyword(s):  
Data Mining ◽  
Web Mining ◽  
Data Warehousing ◽  
Research Area ◽  
Huge Amount ◽  
Web Based ◽  
Page Layout ◽  
Average Speed ◽  
Layout Structure ◽  
The World

It is generally observed throughout the world that in the last two decades, while the average speed of computers has almost doubled in a span of around eighteen months, the average speed of the network has doubled merely in a span of just eight months! In order to improve the performance, more and more researchers are focusing their research in the field of computers and its related technologies. Data Mining is one such research area. It extracts useful information the huge amount of data present in the database. The discovered knowledge can be applied in various application areas such as marketing, fraud detections and customer retention. It discovers implicit, previously unknown and potentially useful information out of datasets. Recent trend in data mining include web mining where it discover knowledge from web based information to improve the page layout, structure and its content.

Fundamentals of Data Mining and Data Warehousing

2017 ◽  
pp. 1-26
Author(s):  
Sathiyamoorthi V
Keyword(s):  
Data Mining ◽  
Web Mining ◽  
Data Warehousing ◽  
Fraud Detection ◽  
Web Based ◽  
Page Layout ◽  
Average Speed ◽  
Layout Structure ◽  
The World ◽  
Recent Trends

It is generally observed throughout the world that in the last two decades, while the average speed of computers has almost doubled in a span of around eighteen months, the average speed of the network has doubled merely in a span of just eight months! In order to improve the performance, more and more researchers are focusing their research in the field of computers and its related technologies. Data mining is one such area that extracts useful information from the huge amount of data present in the dataset. The discovered knowledge can be applied in various application areas such as marketing, fraud detection and customer retention in product based companies and so on. It discovers implicit, previously unknown and potentially useful information out of dataset. Recent trends in data mining include web mining where it discovers knowledge from web based information to improve the page layout, structure and its contents.

A User-Centered Log-Based Information Retrieval System Using Web Log Mining

2017 ◽  
pp. 343-362
Author(s):  
Sathiyamoorthi V
Keyword(s):  
Data Mining ◽  
Web Mining ◽  
Production Control ◽  
Research Area ◽  
Web Page ◽  
Web Based ◽  
Average Speed ◽  
Layout Structure ◽  
Knowledge Discovery In Database ◽  
Recent Trends

It is generally observed throughout the world that in the last two decades, while the average speed of computers has almost doubled in a span of around eighteen months, the average speed of the network has doubled merely in a span of just eight months! In order to improve the performance, more and more researchers are focusing their research in the field of computers and its related technologies. Data Mining is also known as knowledge discovery in database (KDD) is one such research area. The discovered knowledge can be applied in various application areas such as marketing, fraud detection, customer retention and production control and marketing to improve their business. It discovers implicit, previously unknown and potentially useful information out of datasets. Recent trends in data mining include web mining where it discovers knowledge from web based information to improve the page layout, structure and its content thereby it reduces the user latency in accessing the web page and website performance.

Challenges and Issues in Web-Based Information Retrieval System

2017 ◽  
pp. 176-194
Author(s):  
Sathiyamoorthi V.
Keyword(s):  
Information Retrieval ◽  
World Wide Web ◽  
Information Sharing ◽  
World Wide ◽  
Information Retrieval System ◽  
The Internet ◽  
Web Based ◽  
Average Speed ◽  
Great Demand ◽  
The World

It is generally observed throughout the world that in the last two decades, while the average speed of computers has almost doubled in a span of around eighteen months, the average speed of the network has doubled merely in a span of just eight months! In order to improve the performance, more and more researchers are focusing their research in the field of computers and its related technologies. Internet is one such technology that plays a major role in simplifying the information sharing and retrieval. World Wide Web (WWW) is one such service provided by the Internet. It acts as a medium for sharing of information. As a result, millions of applications run on the Internet and cause increased network traffic and put a great demand on the available network infrastructure.

Clustering Algorithms for Data Streams

2011 ◽  
pp. 566-571
Author(s):  
Christos Makris ◽  
Nikos Tsirakis
Keyword(s):  
Data Mining ◽  
Data Streams ◽  
World Wide ◽  
Clustering Algorithms ◽  
Multimedia Data ◽  
Web Pages ◽  
Web Based ◽  
Area Of Interest ◽  
The World ◽  
Available Information

The World Wide Web has rapidly become the dominant Internet tool which has overwhelmed us with a combination of rich hypertext information, multimedia data and various resources of dynamic information. This evolution in conjunction with the immense amount of available information imposes the need of new computational methods and techniques in order to provide, in a systematical way, useful information among billions of Web pages. In other words, this situation poses great challenges for providing knowledge from Web-based information. The area of data mining has arisen over the last decade to address this type of issues. There are many methods, techniques and algorithms that accomplish different tasks in this area. All these efforts examine the data and try to find a model that fits to their characteristics in order to examine them. Data can be either typical information from files, databases and so forth, or with the form of a stream. Streams constitute a data model where information is an undifferentiated, byte-by-byte flow that passes over the time. The area of algorithms for processing data streams and associated applications has become an emerging area of interest, especially when all this is done over the Web. Generally, there are many data mining functions (Tan, Steinbach, & Kumar, 2006) that can be applied in data streams. Among them one can discriminate clustering, which belongs to the descriptive data mining models. Clustering is a useful and ubiquitous tool in data analysis.

Web Usage Mining and Its Applications

2011 ◽  
pp. 1221-1225
Author(s):  
Yongjian Fu
Keyword(s):  
Data Mining ◽  
World Wide ◽  
Online Shopping ◽  
Rapid Development ◽  
User Feedback ◽  
Web Usage Mining ◽  
Web Based ◽  
Web Usage ◽  
The World ◽  
The Web

With the rapid development of the World Wide Web or the Web, many organizations now put their information on the Web and provide Web-based services such as online shopping, user feedback, technical support, and so on. Understanding Web usage through data mining techniques is recognized as an important area.

scholarly journals WEB MINING НА ОСНОВІ ЛЯМБДА АРХІТЕКТУРИ

World Science ◽  
2018 ◽  
Vol 2 (7(35)) ◽  
pp. 4-8
Author(s):  
Фінчук О. В.
Keyword(s):  
Web Mining ◽  
Huge Amount ◽  
Web Resources ◽  
Lambda Architecture ◽  
The World ◽  
Normal Human ◽  
The Web

Amount of data in the web is growing rapidly from day to day and for normal human it's hard to realize what is actually happening in the world at the current moment, so it is required to have a system which allows collect and analyze huge amount of variety data from different web resources. The system should be able to process a lot of data fast and be capable to store all collected data for future processing. How to achieve this with use of lambda architecture is described in this article.

scholarly journals A Lime Light on the Emerging Trends of Web Mining

2013 ◽  
pp. 225-230
Author(s):  
Udayasri. B ◽  
Sushmitha. N ◽  
Padmavathi. S
Keyword(s):  
Data Mining ◽  
Web Mining ◽  
Secondary Data ◽  
Web Page ◽  
Hidden Information ◽  
Useful Knowledge ◽  
The Past ◽  
Emerging Trends ◽  
The World ◽  
Information Center

The World Wide Web is a huge, information center for a variety of applications. Web contains a dynamic and rich collection of hyperlink information. It allows Web page access, usage of information and provides numerous sources for data mining. The goal of Web mining is to discover the pattern of access and hidden information from huge collections of documents. In this paper we are presenting the various emerging web mining techniques that are effectively efficient in overcoming the demerits of existing technologies and also give the superficial knowledge and comparison about data mining. This paper describes the past, current and future of web mining. Web mining attempts to determine useful knowledge from secondary data obtained from the interactions of the users with the web. We have also described the personalization on web which is used to manipulate the information presented to the users through the various personalization strategies.

scholarly journals Requisite for Web Usage Mining – A Survey

2013 ◽  
pp. 67-73
Author(s):  
Sindhu P Menon ◽  
Nagaratna P Hegde
Keyword(s):  
Web Sites ◽  
Web Mining ◽  
World Wide ◽  
Research Area ◽  
Important Research ◽  
The Past ◽  
The World ◽  
Important Research Area ◽  
Indispensable Tool ◽  
The Web

The World Wide Web (Web) has been providing an important and indispensable platform for receiving information and disseminating information as well as interacting with society on the Internet. With its astronomical growth over the past decade, the Web becomes huge, diverse and dynamic. The application of data mining techniques to the web is called Web Mining. Web Mining aims to discover interesting patterns in the structure, the contents and the usage of web sites. An indispensable tool for the webmaster, it has, nevertheless, a long road ahead in which visualisation plays an important role. Currently, Web mining techniques has emerged as an important research area to help Web users find the information needed. This paper is an effort in analysing the views and methodologies stated by various authors on various processes in mining the web.

scholarly journals Data Warehouse, Data Mining Dan Konsep Cross-Selling Pada Analisis Penjualan Produk

2010 ◽  
Vol 1 (2) ◽  
pp. 344
Author(s):  
Eka Miranda ◽  
Natalya Elfreida
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Data Warehouse ◽  
Ad Hoc ◽  
Data Warehousing ◽  
Problem Analysis ◽  
Literature Study ◽  
Product Analysis ◽  
Huge Amount ◽  
Design And Testing

This paper is about designing and implementing data warehousing and data mining, along with their roles in supporting decision-making related to sales product analysis in cross-selling concept of PT XYZ. The database the company used is not supporting data analysis and decision-making. Therefore, it made a data warehousing design that could be used to keep data in a huge amount and could give report and answer from user’s questions in ad hoc. The method is used to design and implement data warehousing and data mining which consists of literature study, company problem analysis, and data warehousing design, and testing result. The writing results are a data warehousing design and data mining and also the implementation of cross-selling concept to analysis the sales, purchases, and customers’ cancellation data. The data could be showed and analyzed from some point of views that could help managers to analyse and acknowledge more information. 

Research on Data Mining Technology in Web Based on the Cloud Computing

2012 ◽  
Vol 532-533 ◽  
pp. 919-923 ◽  
Author(s):  
Feng Zhang ◽  
Li Liu
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Web Mining ◽  
Information Service ◽  
Great Difficulty ◽  
Web Based ◽  
The Web ◽  
Better Than ◽  
Web Knowledge

To improve the data mining efficiency, analyzed existing algorithm for data mining.However,it has some uncertain knoledge are a major concern in data mining, it is great difficulty for data mining in web knoledge,which contains more uncertainty than an affirmatory one dees. In this paper, with web mining method based on the cloud computing analysis. One is the main issues related to the web knowledge problem are detaled, the other is the commonly used methods of handling web knowledge problems in data mining are reviewed, with a diseussion about a number of their known strength and weakness. This can be used to improve the quality of information service on web and can assist the web master to optimize site architec and increase visiting efficiency. The results of experiment show that it is better than that of the existing methods proposed in the literature.

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