4. For instance, a music-related ad on a rotating digital billboard at night on the weekends in North Greenwich station would probably be more successful than an ad for a sports team. The guidelines have been developed to improve the quality and utility of social impact assessments, which in turn will drive better project design and provide greater certainty to local communities and proponents. Aggregated data provides useful information for marketing goods and services to a segment of population. For example, nearly 35% of tweets from the Holloway Road station were about sports, and almost 40% of tweets posted between 6 PM and midnight on weekends at the North Greenwich station were about music.8 The authors of the study recommended using this data to create targeted DOOH advertising. Author. It is an interdisciplinary field encompassing techniques from computer science, data mining, machine learning, social network analysis, network science, sociology, ethnography, statistics, optimization, and mathematics. Keywords: Social Network, Social Network Analysis, Data Mining Techniques 1. Privacy considerations are at the center of the debate on this tool. This book is intended to be of use to researchers in information science and technology and to decision makers. Data mining is applied effectively not only in the business environment but also in other fields such as weather forecast, medicine, transportation, healthcare, insurance, government…etc. Social impacts of the mining sector can be assessed using different indicators sets. Data in the hands of unsavory characters can harm the victims and cause overall negative perceptions in providing personal information to conduct business transactions. 10. Data mining is an important part of knowledge discovery process that we can analyze an enormous set of data and get hidden and useful knowledge. Abstract— Data mining has attracted a great deal of attention in the information industry and in society as a whole in recent years, due to the wide availability of huge amounts of data and the immediate need for turning such data into useful information and knowledge. The chapter extensively discusses relevant issues on the gathering of intelligence for national security and the war on terror and privacy protection of individuals. The coverage of these chapters provide strength to this book for both information science and technology researchers and also decision makers in obtaining a greater understanding of the concepts, issues, problems, trends, challenges and opportunities related to this field of study. Taken from the book description of Data for the People “Every time we Google something, Facebook someone, Uber somewhere, or even just turn on a light, we create data that businesses collect and use to make decisions about us. The following discussion summarizes those environmental and social issues that formed the basis for the Mining and Critical Ecosystems framework. This tool, which is provided by Twitter, allows users to pull tweets off of Twitter according to certain keywords. To achieve their goal, the researchers used the same Twitter Streaming API described in the previous study; however, this time they utilized Twitter’s geotagging function (a capability that allows Twitter users to “tag” their location when they post a tweet). Data mining techniques provide researchers and practitioners the tools needed to analyze large, complex, and frequently changing social media data. Furthermore, the authors share views regarding the current state and future trend in trajectory data privacy. Web pages are classified on content or imbedded contextual information. It reduces the costs of the loyalty programs and results in increased financial stability of the company. Social implications of data mining techniques. The social impacts of large-scale mining projects are controversial and complex. In today’s world all organizations are collecting data from social media, Sensor data, websites logs etc. Date. Understanding the social impacts at a community level triggered by mining operations is a challenging exercise. The goal was to assemble the best minds in the information science and technology field from all over the world to contribute entries to the book. Carole Cadwalladr & Emma Graham-Harrison, Revealed: 50 Million Facebook Profiles Harvested for Cambridge Analytica in Major Data Breach, GUARDIAN (Mar. Social Implications of Data Mining and Information Privacy: Interdisciplinary Frameworks and Solutions serves as a critical source of information related to emerging issues and solutions in data mining and the influence of political and socioeconomic factors. Social Network Analysis and Mining (SNAM) is a multidisciplinary journal serving researchers and practitioners in academia and industry. The authors describe a research project which aims to develop an automated staffing system. The classification of Web pages using machine learning techniques is the focus of chapter 8. The authors argue that in the context of 9/11, intelligence gathering within and outside U.S. is one of the primary strategies of the U.S. This chapter introduces the basics of data mining, reviews social media, discusses how to mine social media data, and highlights some illustrative examples with an emphasis on social networking sites and blogs. To Support Customers in Easily and Affordably Obtaining the Latest Peer-Reviewed Research, Reviving Businesses with New Organizational Change Management Strategies, Digital Transformation, Industry Use Cases, and the Impact of Disruptive Technologies, IoT-Based Big Data Analytics for Smart and Sustainable Manufacturing, Formal and Adaptive Methods for Automation of Parallel Programs Construction, Deep Learning Applications and Intelligent Decision Making in Engineering, Copyright © 1988-2020, IGI Global - All Rights Reserved, Additionally, Enjoy an Additional 5% Pre-Publication Discount on all Forthcoming Reference Books. In facing the realities of these events, we are forced to consider whether anything we post on social media can ever actually be private—and how the law needs to evolve to meet these concerns. The researchers used a tool called the Twitter Streaming Application Programming Interface (API). What is Data Mining and How Can it Positively Impact the Bottom Line . THE assessment of the social impacts of mining projects will be given a higher priority following the exhibition of draft social impact assessment guidelines. The authors argue that this method has advantages with little overhead cost in CPU intensive operations, and has a sound mathematical foundation. The investment once required to seek consumer complaints and grievances will also come down. All proposals were carefully reviewed by the editor in light of their suitability, researcher’s records of similar work in the area of the proposed topics, and the best proposal for topics with multiple proposals. As useful as these technologies are, without strict safeguards on privacy it becomes problematic in the hands of malevolent users. All these seemingly disparate data are collected, warehoused, and mined to find patterns. This has raised serious questions about the influence this practice had on both the 2016 election of Donald Trump and the 2016 Brexit vote in the UK. Biological Data Analysis 5. 3, 2018), https://www.theguardian.com/news/2018/mar/17/cambridge-analytica-faceboo.... 3. An immense breakthrough, this essential reference provides concise coverage of emerging issues and technological solutions in data mining, and covers problems with applicable laws governing such issues. Social media mining has profound legal and ethical implications, many of which are still developing. We provide a comprehensive suite of management consulting tools to strengthen the performance of global development organizations. Related classification concepts are defined and explained. This edited book, the Implication of Data Mining and Information Privacy: Frameworks and Solutions, brings a collections of chapters that analyze topics related to competing goals: the need to collect data and information for disparate operational objectives, and the necessity to preserve the integrity of the collected data to protect privacy. 236 (2017). Upon the receipt of full entry submissions, each submission was forwarded to at least three expert external reviewers on a double-blind, peer review basis. 2. Furthermore, which forms of privacy policy are adequate and the ramifications involved are covered. The authors discuss the promises of these technologies in agriculture and potential benefits to business, government, world health and food safety monitoring organizations in order to increase safety and service, and reduce costs of such products. These activities have raised a number of issues related to privacy protection and civil liberties of citizens and non-citizens. Mineral development can create wealth, but it can also cause considerable disruption. Cambridge Analytica mined over fifty million Facebook profiles.11 This data was not used to market products to Facebook users, but instead to market political ideologies. Mining in contemporary society small business of concerns, from social media, the authors to... 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