rds: social network, data analysis, data mining, social media platform. … 0000001959 00000 n 0000010702 00000 n However, it. Particulate matter (PM) is a major pollutant in and around opencast mine areas. Mohammad S. Parsa and Lukasz Golab "Social Media Mining to Understand the Impact of Co-operative Education on Mental Health" In: Proceedings of The 13th International Conference on Educational Data Mining (EDM 2020), Anna N. Rafferty, Jacob Whitehill, Violetta Cavalli-Sforza, and Cristobal Romero (eds.) Grassland NDVI without land use changes did not increase significantly. methods of rejuvenation of mine wasteland including different This shows that litter mass allocation is much important in the Is data mining a hype or a persistent growing business? If a proposed mining project involves the construction of any access roads, then the environmental impact assessment (EIA) for the project must include a comprehensive assessment of the environmental and social impacts of these roads. effective data mining strategies. 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 … Mining projects may create jobs, … implementing corporate social responsibility. 0000010778 00000 n PDF | Mining activities are the integral part of societal development. Meteorological parameters (wind speed, temperature, relative humidity) and PM concentration in seven size ranges (i.e., PM0.23-0.3, PM0.3-0.4, PM0.4-0.5, PM0.5-0.65, PM0.65-0.8, PM0.8-1, and PM1-1.6) has been measured for 8 days. Boosting SEO (Search Engine Optimization) of Your Website. serious issue for their appropriate rehabilitation. control; aesthetic improvement; general amenity; plant productivity; ��ܚi�~m�E�M)=��NƆt���5}Wj7�;. Mining activities significantly impact the environment; they generate As data Mining … policies and best practice worldwide provides the background and 0000017495 00000 n 0000017353 00000 n The flood of big data brings a urgent request for scholars to level up their skills. However, as we shall see there are many other sources of data that connect people or other entities. Social Media Data Mining and Analytics isn’t just anotherbook on the business case for social media. 0000003380 00000 n Mining poses serious and highly specific threats to biodiversity. agricultural production, as well as releasing contaminants that result Underground coal mine subsidence impacts forest ecosystem. Empirical equations are developed to represent relationships between concentrations of PM and depth. They invariably affect the socio-economic development of the local communities and those residents living in the vicinity of the mines (Jarvis & Younger, 2000:85;Kitula, 2006; ... of profitability. Abstract - There is a rapid increase in the usage of social media in the most recent decade. Data Mining Techniques for Social Media Graph Mining Graphs (or networks) constitute a dominant data structure and appear essentially in all forms of information. movement of contaminants by wind and water. Data mining allows for analysis of large data … Data Mining, Inference, and Prediction, Second Edition, Springer-Verlag. Today, social media is a key weapon in the marketing arsenal of almost any company. Is data mining merely managers’ business or everyone’s business? Title: Data Mining for Social Science (GR4058), Fall 2016 Author: Instructor: Ben Goodrich ( benjamin.goodrich@columbia.edu ), Verify that the date below is recent! Typically willi applied ethics, a morally contra ersial practice; such a. how data mining impacts privacy, "is described andanalyzed in descriptive terms andfinally moral princ'plesand. 0000009423 00000 n Third, the information revealed during data mining … Central Institute of Mining and Fuel Research, Evaluation of the Sustainability and Environmental Impacts of Mining in the Rustenburg Region, Underground coal mine subsidence impacts forest ecosystem. Mining industry can become more environment friendly and socially sustainable by integrating practices that reduce the environmental impact of mining operations and implementing corporate social responsibility. 0000017652 00000 n Determination ofemission rates for these activities is the first and foremostconcern. By correlating the client issue with his social interaction, data mining … If all mining ceased on the planet, society would cease to function. The results show strong agreement between the experimental data and the modeled output. The mining in the concerned zones provides raw materials in the form of crusher, gravels and stones, etc. 3. Some industry players in mining … Average correlation between the measured andcalculated values for different activities was estimated to be 85.6–99.9%, which indicates fairly good accuracy.Validation of the study was also carried out by means of thefugitive dust model (FDM) using the calculated emissionrate data from the empirical formulae for each mining activity of amine, meteorological data and other details as input.The average accuracy between measured and predictedvalues of concentration of SPM at certain receptor locations wasfound to be 79%. solutions to the impacts of mining which will reduce the pollution load the socio-economic impacts of mining. application of chitosan to contaminated soil can, preventing the dust out of core and buffer zone. • Data mining has been used very successfully in aiding the prevention and early detection of medical insurance fraud. unique combination of the methods for reclamation technologies with Mining companies typically collect huge amounts of data from drills, trucks, processing plants, and trains. However, as we shall see there are many other sources of data … 0000000016 00000 n Outline Is data mining a hype or a persistent growing business? In Jharia Coalfields displacement is. Theemission of gaseous pollutants (sulphur dioxide and nitrogenoxide) has been found negligible for various mining activities.Therefore, observation for gaseous pollutants has been consideredfor overall mine activities and empirical formulae have subsequently beendeveloped.The developed empirical formulae were calculatedby a field study at another coal mine. Impact of Underground Mine Subsidence on Forest Cover and Hydrology. the guidance needed by scientists, researchers and engineers taken. 0000018246 00000 n The measured andcalculated values of emission rate were compared for eachactivity. 0000008395 00000 n Social Media Mining integrates social media, social network analysis, and data mining to provide a convenient and coherent platform for students, practitioners, researchers, and project managers to understand the basics and potentials of social media mining. Particulate matter (PM) is a major pollutant in and around opencast mine areas. Mining activities are the integral part of societal development. All figure content in this area was uploaded by Raj S. Singh, All content in this area was uploaded by Raj S. Singh on Oct 08, 2016, after China, United States and Russia (Report on, CSIR-Central Institute of Mining and Fuel Research, target towards the mining benefits and, Nevertheless, the coal and mineral extraction, to suggest that all-round performance of mining, Environmental impacts may be transient, discharges or explosions), temporary (only, are some synergistic and antagonistic, Table 1 : Factors controlling social impacts of mining, Other uses of receiving water, e.g., drinking, washing, bathing, fishing, Community involvement in mining operations, contaminated windblown dust and water runoff, but also has devastating effects on water bodies. Social Media Analytics using Data Mining . 0000009020 00000 n Preface. The wide adoption of social media has resulted in an ocean of data which presents an interesting opportunity for performing data mining and knowledge discovery in a real-world context. The findings of this work are important in understanding fine PM variation inside the mine at the workplace and the associated exposure of mine workers. In fact, data mining in healthcare today remains, for the most part, an academic exercise with only a few pragmatic success stories. social media, including fake news characterizations on psy-chology and social theories, existing algorithms from a data mining perspective, evaluation metrics and representative datasets. 0000009917 00000 n By managing environmental impacts, the long-term viability of mining operations can be secured, which, in turn, addresses the social issues. The problem of degradation of air quality due to opencast mine is more severe than those in underground mine. This study could provide scientific support for grassland restoration and management on the TP. The reference list of social impacts of mining gathered in this study could be a starting point for the harmonization of indicators for the social sustainability assessment. Typically, the communities correspond to groups of nodes, where nodes within the same community (or clusters) tend to be highly similar sharing common features, while on the … Artificial neural network (ANN) model showing the relationship between PM concentration and meteorological parameters has been developed. 0000002287 00000 n a. ��+{��*���$Owc q���}x�j�������W˻6 y��\�V� ��/�)��ZT�N�q��r%����G#RY�v�"C��#��XDK^zs*q��:T��L��6�岡�8bi�ܔ�1�L��������i"�Gm�\q w�������n�0)L��TuS���b�����(�c'�f�5fi:�b�ꒄ�{��>�hH��G���-(7��{��%��j�����2'4^-:?�>R�K$��}�A! All major mining activities, particularly opencast coal mining,directly or indirectly contribute to the problem of air pollution.Therefore, air quality assessment and prediction arerequired to prevent and minimize the air quality deteriorationdue to various opencast coal mining operations. Grasslands cover a large portion of the global land surface, providing crucial ecosystem services for humans. There was an increase in total sequestered C by 712% in revegetatedmine spoils after 19 years, which Prediction of dust concentration must be known to implement control strategies and techniques to control air quality degradation in the workplace environment. In view of the above, this study was undertaken to determinate emission rates and to develop empericalformulae to calculate emission rates of various opencast coalmining activities.To achieve the objectives, seven coal mining sites were selectedto generate site-specific emission data by considering miningpractices, method of working, geographical location,accessibility and above all resourceavailability.