Analytical Competition for Managing Customer Relations

2011 ◽  
pp. 25-30 ◽  
Author(s):  
Dan Zhu
Keyword(s):  
Data Mining ◽  
World Wide Web ◽  
Text Mining ◽  
World Wide ◽  
Customer Relationship ◽  
Service Access ◽  
Web Content ◽  
The World ◽  
Content Mining ◽  
Automated Tools

With the advent of technology, information is available in abundance on the World Wide Web. In order to have appropriate and useful information users must increasingly use techniques and automated tools to search, extract, filter, analyze and evaluate desired information and resources. Data mining can be defined as the extraction of implicit, previously unknown, and potentially useful information from large databases. On the other hand, text mining is the process of extracting the information from an unstructured text. A standard text mining approach will involve categorization of text, text clustering, and extraction of concepts, granular taxonomies production, sentiment analysis, document summarization, and modeling (Fan et al, 2006). Furthermore, Web mining is the discovery and analysis of useful information using the World Wide Web (Berry, 2002; Mobasher, 2007). This broad definition encompasses “web content mining,” the automated search for resources and retrieval of information from millions of websites and online databases, as well as “web usage mining,” the discovery and analysis of users’ website navigation and online service access patterns. Companies are investing significant amounts of time and money on creating, developing, and enhancing individualized customer relationship, a process called customer relationship management or CRM. Based on a report by the Aberdeen Group, worldwide CRM spending reached close to $20 billion by 2006. Today, to improve the customer relationship, most companies collect and refine massive amounts of data available through the customers. To increase the value of current information resources, data mining techniques can be rapidly implemented on existing software and hardware platforms, and integrated with new products and systems (Wang et al., 2008). If implemented on high-performance client/server or parallel processing computers, data mining tools can analyze enormous databases to answer customer-centric questions such as, “Which clients have the highest likelihood of responding to my next promotional mailing, and why.” This paper provides a basic introduction to data mining and other related technologies and their applications in CRM.

Reinforcing CRM with Data Mining

2011 ◽  
pp. 950-954
Author(s):  
Dan Zhu
Keyword(s):  
Data Mining ◽  
World Wide Web ◽  
Customer Relationship Management ◽  
World Wide ◽  
Relationship Management ◽  
Customer Relationships ◽  
Customer Relationship ◽  
The World ◽  
Automated Tools

With the explosive growth of information available on the World Wide Web, users must increasingly use automated tools to find, extract, filter, and evaluate desired information and resources. Companies are investing significant amounts of time and money on creating, developing, and enhancing individualized customer relationships, a process called customer relationship management, or CRM (Berry & Linoff, 1999; Buttle, 2003; Rud, 2000). Based on a report by the Aberdeen Group, worldwide CRM spending reached $13.7 billion in 2002 and should be close to $20 billion by 2006.

Metadata Management

Web Mining ◽  
2011 ◽  
pp. 1-26 ◽  
Author(s):  
Gilbert W. Laware
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
World Wide Web ◽  
World Wide ◽  
Metadata Management ◽  
Web Content ◽  
Current Information ◽  
The World ◽  
Increasing Demand

This chapter introduces the need for the World Wide Web to provide a standard mechanism so individuals can readily obtain data, reports, research and knowledge about any topic posted to it. Individuals have been frustrated by this process since they are not able to access relevant data and current information. Much of the reason for this lies with metadata, the data about the data that are used in support of Web content. These metadata are non-existent, ill-defined, erroneously labeled, or, if well-defined, continue to be marked by other disparate metadata. With the ever-increasing demand for Web-enabled data mining, warehousing and management of knowledge, an organization has to address the multiple facets of process, standards, technology, data mining, and warehousing management. This requires approaches to provide an integrated interchange of quality metadata that enables individuals to access Web content with the most relevant, contemporary data, information, and knowledge that are both content-rich and practical for decision-making situations.

Metadata Management

2011 ◽  
pp. 1305-1330
Author(s):  
Gilbert W. Laware
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
World Wide Web ◽  
World Wide ◽  
Metadata Management ◽  
Web Content ◽  
Current Information ◽  
The World ◽  
Increasing Demand

This chapter introduces the need for the World Wide Web to provide a standard mechanism so individuals can readily obtain data, reports, research and knowledge about any topic posted to it. Individuals have been frustrated by this process since they are not able to access relevant data and current information. Much of the reason for this lies with metadata, the data about the data that are used in support of Web content. These metadata are non-existent, ill-defined, erroneously labeled, or, if well-defined, continue to be marked by other disparate metadata. With the ever-increasing demand for Web-enabled data mining, warehousing and management of knowledge, an organization has to address the multiple facets of process, standards, technology, data mining, and warehousing management. This requires approaches to provide an integrated interchange of quality metadata that enables individuals to access Web content with the most relevant, contemporary data, information, and knowledge that are both content-rich and practical for decision-making situations.

Analyzing Website Quality Issues through Web Mining

2017 ◽  
pp. 168-198
Author(s):  
G. Sreedhar
Keyword(s):  
World Wide Web ◽  
Web Mining ◽  
World Wide ◽  
Web Content ◽  
Website Quality ◽  
Web Structure ◽  
Web Structure Mining ◽  
The World ◽  
Content Mining ◽  
The Web

In the present day scenario the World Wide Web (WWW) is an important and popular information search tool. It provides convenient access to almost all kinds of information – from education to entertainment. The main objective of the chapter is to retrieve information from websites and then use the information for website quality analysis. In this chapter information of the website is retrieved through web mining process. Web mining is the process is the integration of three knowledge domains: Web Content Mining, Web Structure Mining and Web Usage Mining. Web content mining is the process of extracting knowledge from the content of web documents. Web structure mining is the process of inferring knowledge from the World Wide Web organization and links between references and referents in the Web. The web content elements are used to derive functionality and usability of the website. The Web Component elements are used to find the performance of the website. The website structural elements are used to find the complexity and usability of the website. The quality assurance techniques for web applications generally focus on the prevention of web failure or the reduction of chances for such failures. The web failures are defined as the inability to obtain or deliver information such as documents or computational results requested by web users. A high quality website is one that provides relevant, useful content and a good user experience. Thus in this chapter, all areas of website are thoroughly studied for analysing the quality of website design.

A STUDYING OF WEB CONTENT MINING TOOLS

2020 ◽  
Vol 25 (2) ◽  
pp. 1-16
Author(s):  
Rasha Hany Salman ◽  
Mahmood Zaki ◽  
Nadia A. Shiltag
Keyword(s):  
World Wide Web ◽  
Critical Review ◽  
Web Mining ◽  
World Wide ◽  
Web Content ◽  
Web Content Mining ◽  
The World ◽  
Content Mining ◽  
Mining Tools ◽  
The Web

The web today has become an archive of information in any structure such content, sound, video, designs, and multimedia, with the progression of time overall web, the world wide web is now crowded with different data making extraction of virtual data burdensome process, web utilizes various information mining strategies to mine helpful information from page substance and web hyperlink. The fundamental employments of web content mining are to gather, sort out, classify, providing the best data accessible on the web for the client who needs to get it. The WCM tools are needful to examining some HTML reports, content and pictures at that point, the outcome is using by the web engine. This paper displays an overview of web mining categorization, web content technique and critical review and study of web content mining tools since (2011-2019) by building the table's a comparison of these instruments dependent on some important criteria

Metadata Management

2008 ◽  
pp. 3416-3439
Author(s):  
Gilbert W. Laware
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
World Wide Web ◽  
World Wide ◽  
Metadata Management ◽  
Web Content ◽  
Current Information ◽  
The World ◽  
Increasing Demand

This chapter introduces the need for the World Wide Web to provide a standard mechanism so individuals can readily obtain data, reports, research and knowledge about any topic posted to it. Individuals have been frustrated by this process since they are not able to access relevant data and current information. Much of the reason for this lies with metadata, the data about the data that are used in support of Web content. These metadata are non-existent, ill-defined, erroneously labeled, or, if well-defined, continue to be marked by other disparate metadata. With the ever-increasing demand for Web-enabled data mining, warehousing and management of knowledge, an organization has to address the multiple facets of process, standards, technology, data mining, and warehousing management. This requires approaches to provide an integrated interchange of quality metadata that enables individuals to access Web content with the most relevant, contemporary data, information, and knowledge that are both content-rich and practical for decision-making situations.

Dark Web

2020 ◽  
pp. 152-164
Author(s):  
Punam Bedi ◽  
Neha Gupta ◽  
Vinita Jindal
Keyword(s):  
World Wide Web ◽  
Search Engines ◽  
World Wide ◽  
Data Dissemination ◽  
Deep Web ◽  
Web Browsers ◽  
Web Content ◽  
The World ◽  
Dark Web ◽  
The Web

The World Wide Web is a part of the Internet that provides data dissemination facility to people. The contents of the Web are crawled and indexed by search engines so that they can be retrieved, ranked, and displayed as a result of users' search queries. These contents that can be easily retrieved using Web browsers and search engines comprise the Surface Web. All information that cannot be crawled by search engines' crawlers falls under Deep Web. Deep Web content never appears in the results displayed by search engines. Though this part of the Web remains hidden, it can be reached using targeted search over normal Web browsers. Unlike Deep Web, there exists a portion of the World Wide Web that cannot be accessed without special software. This is known as the Dark Web. This chapter describes how the Dark Web differs from the Deep Web and elaborates on the commonly used software to enter the Dark Web. It highlights the illegitimate and legitimate sides of the Dark Web and specifies the role played by cryptocurrencies in the expansion of Dark Web's user base.

Planning and Deployment of Dynamic Web Technologies for Supporting E-Business

2011 ◽  
pp. 281-299
Author(s):  
John A. Hines
Keyword(s):  
World Wide Web ◽  
World Wide ◽  
Legacy Systems ◽  
Web Content ◽  
Business World ◽  
Web Technologies ◽  
Dynamic Web ◽  
The World ◽  
Being Moved ◽  
Limited Scope

More and more, internal applications are being moved from legacy systems into a more flexible Webbased environment. The issue concerning World Wide Web technologies is important to today’s businesses. Decision making in this area is complex and needs to consider carefully the characteristics and needs of the entities employing these technologies. It has furthermore become clear that the Internet, in particular the World Wide Web, is playing an increasingly larger role in how people communicate. Through this research, technologies used to serve dynamic Web content are compared. This comparison includes performance as well as cost issues, the things that professionals in the business world face when deciding the best implementation of Web server technologies. Existing studies cover a limited scope of the overall picture, and research has thus been focused into very narrow aspects of the global entity. However, the continuing developments in Web technologies dictate the need for a broad scope approach to comparative studies in this field. Such a scope is pursued in this research.

World Wide Web Usage Mining

2011 ◽  
pp. 1242-1248 ◽  
Author(s):  
Wen-Chen Hu ◽  
Hung-Jen Yang ◽  
Chung-wei Lee ◽  
Jyh-haw Yeh
Keyword(s):  
Data Mining ◽  
World Wide Web ◽  
World Wide ◽  
Data Gathering ◽  
Web Usage Mining ◽  
Web Data ◽  
Mining System ◽  
Data Mining Techniques ◽  
Web Usage ◽  
Content Mining

World Wide Web data mining includes content mining, hyperlink structure mining, and usage mining. All three approaches attempt to extract knowledge from the Web, produce some useful results from the knowledge extracted, and apply the results to certain real-world problems. The first two apply the data mining techniques to Web page contents and hyperlink structures, respectively. The third approach, Web usage mining (the theme of this article), is the application of data mining techniques to the usage logs of large Web data repositories in order to produce results that can be applied to many practical subjects, such as improving Web sites/pages, making additional topic or product recommendations, user/customer behavior studies, and so forth. This article provides a survey and analysis of current Web usage mining technologies and systems. A Web usage mining system must be able to perform five major functions: (i) data gathering, (ii) data preparation, (iii) navigation pattern discovery, (iv) pattern analysis and visualization, and (v) pattern applications. Many Web usage mining technologies have been proposed, and each technology employs a different approach. This article first describes a generalized Web usage mining system, which includes five individual functions. Each system function is then explained and analyzed in detail. Related surveys of Web usage mining techniques also can be found in Hu, et al. (2003) and Kosala and Blockeel (2000).

World Wide Web Personalization

2011 ◽  
pp. 1235-1241 ◽  
Author(s):  
Olfa Nasraoui
Keyword(s):  
World Wide Web ◽  
World Wide ◽  
Information Overload ◽  
Information Age ◽  
Web Content ◽  
Web Personalization ◽  
Web Structure ◽  
Web Information ◽  
The World ◽  
The Web

The Web information age has brought a dramatic increase in the sheer amount of information (Web content), in the access to this information (Web usage), and in the intricate complexities governing the relationships within this information (Web structure). Hence, not surprisingly, information overload when searching and browsing the World Wide Web (WWW) has become the plague du jour. One of the most promising and potent remedies against this plague comes in the form of personalization. Personalization aims to customize the interactions on a Web site, depending on the user’s explicit and/or implicit interests and desires.

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