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Syndetic Solutions - Summary for ISBN Number 9789811063855
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Li, Min (Editor); Wang, Hongzhi (Editor); Song, Xianhua (Editor); Xie, Wei (Editor); Lu, Zeguang (Editor)</div> <div class="rating"> <script src="https://code.jquery.com/jquery-latest.js"></script> <script type ="text/javascript"> var itemUID = '82737177'; var formatValue = 'json'; var clientCode = 'rit'; $(document).ready(function () { $('.rate_widget').each(function (i) { var widget = this; GetRatings(widget); }); $('.ratings_stars').hover( // Handles the mouseover function () { $(this).prevAll().andSelf().addClass('ratings_over'); $(this).nextAll().removeClass('ratings_vote'); }, // Handles the mouseout function () { $(this).prevAll().andSelf().removeClass('ratings_over'); // can't use 'this' because it wont contain the updated data set_votes($(this).parent()); } ); // This actually records the vote $('.ratings_stars').bind('click', function () { if(CheckDuplicate()){ var star = this; var widget = $(this).parent(); var clickedRating = $(star).attr('class').match(/star_([1-5]{1})/); 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The 112 revised full papers presented in these two volumes were carefully reviewed and selected from 987 submissions. The papers cover a wide range of topics related to Basic Theory and Techniques for Data Science including Mathematical Issues in Data Science, Computational Theory for Data Science, Big Data Management and Applications, Data Quality and Data Preparation, Evaluation and Measurement in Data Science, Data Visualization, Big Data Mining and Knowledge Management, Infrastructure for Data Science, Machine Learning for Data Science, Data Security and Privacy, Applications of Data Science, Case Study of Data Science, Multimedia Data Management and Analysis, Data-driven Scientific Research, Data-driven Bioinformatics, Data-driven Healthcare, Data-driven Management, Data-driven eGovernment, Data-driven Smart City/Planet, Data Marketing and Economics, Social Media and Recommendation Systems, Data-driven Security, Data-driven Business Model Innovation, Social and/or organizational impacts of Data Science. </div> </div> <div class="content_bottom_button_container" align="center"><form action="" name="navbar"><input align="left" type="button" value="Back" onclick="history.back();"></form></div> <div class="footer"> <div class="legal"> Descriptive content provided by Syndetics™, a ProQuest® service.<br> <a href="https://www.proquest.com/about/terms-and-conditions.html">Click here for Terms of Use.</a> </div> <div class="logo"> <img src="/images/newui/footer_logo.jpg" alt="Proquest Logo"> </div> </div> </div> </div> </body> </html>