International Journal of Trend in Research and Development, Volume 3(4), ISSN: 2394-9333 www.ijtrd.com
Some Studies on Web Mining Ethical Issues and Challenges 1
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Dr.A.Siva Prasad, 2Dr.CH.V.M.K.Hari and 3R.Venkateswara Rao Department of Computer Science, Dr.V. S. Krishna Government Degree College, Visakhapatnam, Andhra Pradesh, India
Abstract: Web is a system changed the world for distributing data. Its revolution dictating the world economy. No business, no company, left intact. The technology has a wide range of choices and vital to the success of the organization in decision-making. Any business units that have large amounts of information, because the web technology. The data is extracted from the vast amounts of information. The ultimate goal of the general system of knowledge mining to extract knowledge from existing data for future use is applied to set up the structure. Privacy and personal values of individuals has to be in consideration to make sure you are treated fairly and to justice. Bearing this in mind the seriousness of these ethical issues should be a joint responsibility of Internet users and organizations. Keywords-- Data Mining, Data Mining, Privacy, Ethics. I.
INTRODUCTION
A. Information types: According to information from the Web or from the website information (Juan D. Velásquez,2013) has classified in three different sources. 1. Information: objects of type a web page, is different types of image, free text, sound average, etc. 2. Hierarchy of documents: Mining structure, and aim to fully investigate how different Web documents are joined 3 Log: Transaction data is entered in the Web server shows all. Often this type of information, called as user activity data to what is known as navigation the user is visiting, while the user was on the page (Garrie and Wong, 2007). II.
INTIMIDATION OF WEB MINING
To obtain the necessary information, the web mining technology has to overcome the fundamental problem (Jiawei Han, Kevin Cheng Chuan, 2002) . It will play an important role in keyword, address and link content-based web search, and are compatible. However, these search engines is still high-quality, intelligent service (S. Brin and L. Page, 1998). Complete privacy, will not be able to get in the electronic age. Doing, e-commerce government transactions, card or ATM transactions are the source of information about your daily activities. In any processing system, it is expected that the private sector knowledge of misuse or abuse by an external entity. In most cases, public data processing and business applications, people, under the leadership of the region, in order to provide useful results for the organization and the society was claimed. It is not possible to be a help a average customer sensitivity and knowledge misuse (La Paz, et al., 2002).It is a very difficult one to decide the court rules that protect the IJTRD | Jul-Aug 2016 Available
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confidentiality, data processing applications by reducing the likelihood of various strategies, to find solutions to these issues. In terms of the legal definition of privacy is a difficult process. Complete privacy is not an inherent part of any society participation in society it requires interaction with communication, which makes the unattainable absolute privacy (Gavison 1984). Obtained Information from a diversity of sources may be from formal databases created particularly for the analysis of crime and intelligence data (Colleen Mc,2015). There are different types of knowledge might be effective in the context of fault prevention, examination or prosecution and victim protection, such processes inevitably raise significant concerns particularly in relation to privacy and data security (Felicity Gerry QC et al,2016). A. Secure Data Exchange A sender wishes to transmit a secret to a receiver through a communication (Jérôme Renault et al,2014) Organizations without compromise, should do secure information exchange between and share information for mutual benefit (Clifton, Kantarcioglu, physician, Lin and Zhu 2002). In order to protect the privacy of individuals and organizations use data scrambling version. And avoid the illegal extraction of information which is available in the work. Net user‟s causes problem, the protection of privacy should be one of the policy of shoppers shopping center, as there is a fact that they give us hope of buying online. Therefore, they to guarantee the confidentiality of data(Mehmet Cudi OKUR,2008). Nowadays the requirements of web shopping are increasing. But credit card scam has been serious, and have their own problems (Fang-Yie Leu et al,2015 ) B. Privacy Issues Mason(1986), was the first person forecasted the risk personal privacy was an initial factor and the ability to use a personal computer. Existing privacy preserving techniques like, anonymization requires dataset can be divided into attributes like, sensitive attributes, quasi identifiers, and non-sensitive attributes(Brijesh B. Mehta,2), Olson, D.L stated that Data mining is a very important tool, but requires detailed data about customers. Levine (2003) examined a number of factors of privacy, as shown in Table2.1 Privacy Factors Issue
Role
Informed approval
Permission enquired
individuality development
Private reflection and experimentation for growth
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International Journal of Trend in Research and Development, Volume 3(4), ISSN: 2394-9333 www.ijtrd.com prevention of discrimination
Laws insufficient for personal protection
Division
Market, family, religion, politics, other relationships separated
Although several occasions proved relation of privacy and technology have to come together, to focus the IT business, basing on the nature of information, the data utility (Clifton et al., 2002, Dutta et al., 2011), and also the business benefits (Cohen, 1999). Under this criterion, a comparison of private advantage of privacy with the advantages to society of the availability of information is meant (Wilson, 2006). C. Privacy threatened by web-data mining This is to protect Internet users' privacy . Privacy is our understanding, however, is conceptually fragile. The word "privacy" deals with social behavior and domain( Johnson, 2001).When data is made unidentified before producing the profile, however, the information discovered is no longer linked to person, and there is a direct sense of the violation of privacy because the profiles do not contain personal data "real" (Vedder 2001) (Juan D. Velásquez,2013). The majority of research is on data security and which is not suitable for firms that outsource their business operations and the used threat models particular aspects of threats and attacks, which show the use of multiple steps to thief and misuse the information, and depend on the type of the stolen information (Yosra Miaoui et al,2015). D. Content and structure mining We must conclude that little can be done to limit the risk , of the possible misuse of data content and structure of the web, and for the solution. Since public mining personal data on the web has not been prevented with legal measures and monitoring of web content mining activity. This, however, it is very difficult to know exactly, Monitoring should be conducted by independent organizations, and support for companies, without the support of the miners, you can hide the fact so easily in the Web data mining activities(Lita van Wel and Lamber Royakkers,2004). E. Log mining E-commerce is growing rapidly with time in terms of both business and data. Many of them rely on these websites to attract new customers and retain the existing ones. In order to achieve this goal web log files can be used that records customer's access patterns (Prajyoti Lopes, Bidisha Roy,2015 )Interesting web data usage patterns understands better to meet the needs of Webbased applications.. Using this data, Web site browsing behavior with his or her identity or the origin of the web user helps to capture needs of the client(Lita van Wel and Lamber Royakkers,2004). The analyses of these log file allow us to confirm that this type of activities provide a trivial support for a focused and active learning (Jordi Cuadros et al,2015). Web usage is considered to be classified: Data Web Server: The rise of usage of information has given new opportunities for analyzing, visualizing, and interacting with data across the sciences, and biodiversity science is no exception IJTRD | Jul-Aug 2016 Available
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(Julia Janicki, 2016), the user logs are collected by the web server. Typical data IP address, reference and use is included in the pages of time. Application Server data: This feature keeps track of various types of sequence of business events; it has the ability to record in the application as server log and helps us to improve the business You can protect the privacy of web users by privacy protection tool, and web user has a possibility to make decisions based on information. Companies and organizations must inform customers about what is collecting the information and how it is used(Scribbins,2001), the customer companies and organizations will inform about it, there is a possibility to help users understand the privacy policy . III. WEB MINING AND RESEARCH CHALLENGES With the rapid development of online information, the World Wide Web (WWW) is a right area of data mining. Using different tools and data mining techniques via the Internet is termed web mining(Md. Zahid Hasan et al,2012). Web mining is used to solve the problems of information related. A. Process Mining Process mining is a process management and data analysis techniques are used to find the link between information and model. Businesses have adopted process management approaches such as business process re-engineering (BPR) and Six Sigma for their survival and growth (Sungbum Park, Young Sik Kang,2016). Mining process is to extract information from the event log on the way to capture the business process as to when it is being executed. For example, in any store point of sale based on market data collected provides only the end of the process. The overall objective of any online store's final stage to maximize the probability of reaching each visit or expected to maximize sales. B. Threat Analysis It is one more challenge of data mining. Softwares are available for doing data mining to detect violations of credit card. Researchers should have a challenge to build a model in real time. The challenge is necessary for many companies they have exchanges with external companies(Md. Zahid Hasan et al,2012), like insurance, credit cards, and detection of telecommunications fraud is very concerned about both researchers particular organization (Sankar K. Pal et al.2002). present approaches to risk management s need for dynamics approaches to risk detection as part of a planned resource application aimed at reducing the expected penalty of undesired outcomes for the object of the estimation (J.H. Powell et al,,2016) C. Semantic Web Mining E-commerce has grown rapidly and a good E-Commerce website has become indispensable for every commerce based organization. However these industries are helpful in developing countries like India, as it is still lagging behind to satisfy the demanding and dynamic needs of consumers (Neha Verma et
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International Journal of Trend in Research and Development, Volume 3(4), ISSN: 2394-9333 www.ijtrd.com al,2015).Semantic Web mining and Web mining are research areas of rapid development is intended to combine two areas of study. Researchers on the web by searching for semantic structure, both in the area of web mining results are eager to improve. Security and confidentiality of such information and knowledge management and search, a lot of areas of the industry as these research activities (Al. Gerd Stumme et, 2006) (Md. Zahid Hasan et al,2012).
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CONCLUSION To keep the tempo with technical challenges and World Wide Web becomes an increasingly important part of present society; firms of all kinds are making efforts to use web mining for several purposes. Many of these effects are commercial in nature, since there is money involved in gathering and intelligent analysis of information about people. While most of the benefits go to the web mining, web users may face the problems of web data mining. Companies can hide their ultimate goals fairly and gather information easily in obtaining certain bits of information. Knowingly or unknowingly, consumers publish private data like Credit or debit card transactions, ATM visits, web site browsing and purchases in day to day activities. References [1]
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