Bookstore Search

When data mining aims to disclose information about the moral competences and values of individuals or groups – an undertaking we call ‘morality mining’ –, novel ethical problems emerge. These are only partially covered by the current debate on ethical data mining focusing on privacy with respect to...

The chapter presents a specific niche dilemma regarding the ethical aspects of utilization of data gathered for one specific research for another research, which was not specified to the data suppliers (sample) at the time of gathering, or that the data suppliers were not even informed of the...

This chapter is a conceptual contribution to this book on data mining applications upholding ethical issues related to two extremely important aspects of the Bangladeshi population: the early warning system and the disaster management system. The chapter tries to provide a few conceptual ideas to...

With the advent of Web 2.0 technologies, online forms of communication are rich sources of data to study socio-economic growth patterns and consumer behaviours. In this research field, the more robust development of data mining and opinion monitoring depends on fully automating data collection to...

This chapter delineates the theory and practice of ethical big data mining for socio-economic development in four parts. The first part enunciates the ethical role of big data mining for socio-economic development by theorizing big data as a 20th Century phenomenon and its surging significance in the...

Social scientists address some of the most pressing issues of society such as health and wellness, government processes and citizen reactions, individual and collective knowledge, working conditions and socio-economic processes, and societal peace and violence. In an effort to understand these and many...

This chapter has given focus on data mining applications and their utilizations in formulating performance measuring tools for social development initiatives upholding ethical issues. In this context, this chapter has provided justifications to include data mining algorithm to establish monitoring and...

Attention to the legal and ethical principles of governance of seaport authorities (PAs) can enhance the future possibility of sustainable development of a port. This chapter presents a customised dataset and accompanying descriptions compiled from multiple sources and repositories that can be mined to...

In the process of data mining, techniques used, and results gathered, became ethically or even legally questionable due to the concern of the violation of individuals’ privacy when specific information is obtained, manipulated, and disseminated by other entities without an individual’s knowledge or...

This chapter investigates an ethical mechanism of organizational measurement for student learning that is based on the learning analytics gathered from various learning-related activities over an extended period of time. In the context of today’s Web 2.0, such learning analytics are often collected...

This chapter proposes a decision support system applied to public schooling, especially for reducing dropout rates for minorities. That is relevant enough to enable understanding of ethical data mining in a strategic planning context. This understanding explains the importance of adequate different...

To the extent that data constitutes creative work in a tangible form, it represents intellectual property and implicates copyright. Understanding data mining, thus, invokes an appreciation of the principle and law of copyright. With the advent of digital rights management (DRM), the discourse of the...

This chapter presents this new emerging technology of social media and networking with a detailed discussion on: basic definitions and applications, how this technology evolved in the last few years, the need for dynamicity under data mining environment. It also provides a comprehensive design and...

The social network analysis is of significant interest in various application domains due to its inherent richness. Social network analysis like any other data analysis is limited by the quality and quantity of data and for which data preprocessing plays the key role. Before the discovery of useful...

This chapter identifies a number of the most common data mining toolkits and evaluates their utility in the extraction of data from heterogeneous online social networks. It introduces not only the complexities of scraping data from the diverse forms of data manifested in these sources, but also...

In recent times, there has been a tremendous increase in the number of social networking sites and their users. With the amount of information posted on the public forums, it becomes essential for the service providers to maintain the privacy of an individual. Anonymization as a technique to secure...

Experiments, performed on real Twitter posts, show the effectiveness and the usability of the proposed system in supporting Twitter user behavior and topic trend analysis.

Social Networks are nodes consisting of people, groups and organizations growing dynamically. The growth is horizontal as well as vertical in terms of size and number. Social network analysis has gained success due to online social networking and sharing sites. The accessibility of online social sites...

This Chapter overviews most recent data mining approaches proposed in the context of social network analysis. In particular, it aims at classifying the proposed approaches based on both the adopted mining strategies and their suitability for supporting knowledge discovery in a dynamic context. To...

Unable to accommodating new technologies, including social technology, mobile devices and computing are other potential problems, which are significant challenges to social-networking service. The very broad range of such social-networking challenges and problems are demanding advanced and dynamic...

In this chapter, the authors focused on optimization of MSNs based on integrating for intelligent DM and BI platforms, which involves mobile devices. The approach is defining the challenges based social network trends and current situation explorations, and then applying the techniques to exploring the...

Many popular online social networks such as Twitter, LinkedIn, and Facebook have become increasingly popular. In addition, a number of multimedia networks such as Flickr have also seen an increasing level of popularity in recent years. Many such social networks are extremely rich in content, and...

Research on data mining is increasing at an incessant rate and to improve its effectiveness other techniques have been applied such as fuzzy sets, rough set theory, knowledge representation, inductive logic programming, or high-performance computing. Fuzzy logic due to its proficiency in handling...

Fuzzy methodologies show progress day by day towards better explanation of various natural, social, engineering and information problem solutions in the best, economic, fast and effective manner. This chapter provides cluster analyses from probabilistic, statistical and especially fuzzy methodology...

Social Networking Sites, which create platform for social interactions and sharing are the mostly used internet websites, thus are very important in today’s world. The vast usage of social networking sites (SNSs) has effected the business world, new business models are proposed, business process are...