How Machine Learning is Changing e-Government
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Michalis Avgerinos Loutsaris | Yannis Charalabidis | Zoi Lachana | Vasiliki Diamantopoulou | Aggeliki Androutsopoulou | Charalampos Alexopoulos | Y. Charalabidis | Vasiliki Diamantopoulou | C. Alexopoulos | Aggeliki Androutsopoulou | Zoi Lachana | M. Loutsaris
[1] Peter Norvig,et al. Artificial Intelligence: A Modern Approach , 1995 .
[2] Hui Yang,et al. "Hey #311, Come Clean My Street!": A Spatio-temporal Sentiment Analysis of Twitter Data and 311 Civil Complaints , 2014, 2014 IEEE Fourth International Conference on Big Data and Cloud Computing.
[3] D. Linkens,et al. Application of artificial intelligence to the management of urological cancer. , 2007, The Journal of urology.
[4] Michael I. Jordan,et al. Machine learning: Trends, perspectives, and prospects , 2015, Science.
[5] Tsunenori Mine,et al. Machine learning is better than human to satisfy decision by majority , 2017, WI.
[6] Hongfang Liu,et al. Using machine learning for concept extraction on clinical documents from multiple data sources , 2011, J. Am. Medical Informatics Assoc..
[7] Stephen R. Marsland,et al. Machine Learning - An Algorithmic Perspective , 2009, Chapman and Hall / CRC machine learning and pattern recognition series.
[8] B. S. Rashmi,et al. Applying Machine Learning Techniques for Sentiment Analysis in the Case Study of Indian Politics , 2017, SIRS.
[9] Francis X. Diebold,et al. On the Origin(s) and Development of the Term 'Big Data' , 2012 .
[10] Bruce G. Buchanan,et al. A (Very) Brief History of Artificial Intelligence , 2005, AI Mag..
[11] Sholom M. Weiss,et al. Predictive data mining - a practical guide , 1997 .
[12] Daniela Gorski Trevisan,et al. Transparency in practice: using visualization to enhance the interpretability of open data , 2017, DG.O.
[13] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[14] Shirish Tatikonda,et al. SystemML: Declarative machine learning on MapReduce , 2011, 2011 IEEE 27th International Conference on Data Engineering.
[15] Yannis Charalabidis,et al. Scientific foundations training and entrepreneurship activities in the domain of ICT-enabled governance , 2018, DG.O.
[16] Justin Grimmer,et al. We Are All Social Scientists Now: How Big Data, Machine Learning, and Causal Inference Work Together , 2014, PS: Political Science & Politics.
[17] Nenad Tomasev,et al. Extracting the patterns of truthfulness from political information systems in Serbia , 2017, Inf. Syst. Frontiers.
[18] I. Song,et al. Analytics over large-scale multidimensional data: the big data revolution! , 2011, DOLAP '11.
[19] Yannis Charalabidis,et al. A framework for evidence based policy making combining big data, dynamic modelling and machine intelligence , 2018, ICEGOV.
[20] Rosnafisah Bte. Sulaiman,et al. Using KNN algorithm for classification of textual documents , 2017, 2017 8th International Conference on Information Technology (ICIT).
[21] Vijay Sivaraman,et al. HazeEst: Machine Learning Based Metropolitan Air Pollution Estimation From Fixed and Mobile Sensors , 2017, IEEE Sensors Journal.
[22] Toon Calders,et al. Three naive Bayes approaches for discrimination-free classification , 2010, Data Mining and Knowledge Discovery.
[23] Angelo Corallo,et al. Sentiment Analysis for Government: An Optimized Approach , 2015, MLDM.
[24] Wei Fan,et al. Mining big data: current status, and forecast to the future , 2013, SKDD.
[25] Yong Wang,et al. You Look Suspicious!!: Leveraging Visible Attributes to Classify Malicious Short URLs on Twitter , 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).
[26] Richard S. Sutton,et al. Introduction to Reinforcement Learning , 1998 .
[27] Eric J. Topol,et al. Stop the privatization of health data , 2016, Nature.
[28] Erik Brynjolfsson,et al. Big data: the management revolution. , 2012, Harvard business review.
[29] Basit Shafiq,et al. Big Data-based Smart City Platform: Real-Time Crime Analysis , 2016, DG.O.
[30] Igor Kononenko,et al. Machine learning for medical diagnosis: history, state of the art and perspective , 2001, Artif. Intell. Medicine.
[31] Carlos Guestrin,et al. Distributed GraphLab : A Framework for Machine Learning and Data Mining in the Cloud , 2012 .
[32] Zoi Lachana,et al. IDENTIFYING THE DIFFERENT GENERATIONS OF EGOVERNMENT : AN ANALYSIS FRAMEWORK Ongoing Research paper New Directions for Digital Governance : Towards Government 3 . 0 , 2018 .
[33] Nils J. Nilsson,et al. Principles of Artificial Intelligence , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[34] Alessandro Piscopo,et al. Predicting sense of community and participation by applying machine learning to open government data , 2014 .
[35] Graham J. Williams,et al. Big Data Opportunities and Challenges: Discussions from Data Analytics Perspectives [Discussion Forum] , 2014, IEEE Computational Intelligence Magazine.
[36] Yu-Wei Chang,et al. Apply Deep Learning Neural Network to Forecast Number of Tourists , 2017, 2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA).
[37] Seref Sagiroglu,et al. Big data: A review , 2013, 2013 International Conference on Collaboration Technologies and Systems (CTS).
[38] John R. Anderson,et al. MACHINE LEARNING An Artificial Intelligence Approach , 2009 .
[39] Dennis M. Wilkinson,et al. Large-Scale Parallel Collaborative Filtering for the Netflix Prize , 2008, AAIM.
[40] Maarten van Someren,et al. A Big Data Approach to Support Information Distribution in Crisis Response , 2016, ICEGOV.
[41] Matthew U. Scherer. Regulating Artificial Intelligence Systems: Risks, Challenges, Competencies, and Strategies , 2015 .
[42] H. Howie Huang,et al. Big data machine learning and graph analytics: Current state and future challenges , 2014, 2014 IEEE International Conference on Big Data (Big Data).
[43] Vern Paxson,et al. Outside the Closed World: On Using Machine Learning for Network Intrusion Detection , 2010, 2010 IEEE Symposium on Security and Privacy.
[44] Patricia Ordóñez de Pablos,et al. Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications , 2017 .
[45] Sachio Hirokawa,et al. Feature words that classify problem sentence in scientific article , 2012, IIWAS '12.
[46] Ahmed Elragal,et al. Big Data Analytics: A Literature Review Paper , 2014, ICDM.
[47] Ejub Kajan,et al. Handbook of Research on Democratic Strategies and Citizen-Centered E-Government Services , 2014 .
[48] Ulrich W. Eisenecker,et al. AI: The Tumultuous History of the Search for Artificial Intelligence , 1995 .
[49] Witold Pedrycz,et al. Supervised Learning: Decision Trees, Rule Algorithms, and Their Hybrids , 2007 .
[50] Rajesh Bordawekar,et al. Analyzing Analytics , 2015, Analyzing Analytics.
[51] Fabrizio Sebastiani,et al. Machine learning in automated text categorization , 2001, CSUR.
[52] อนิรุธ สืบสิงห์,et al. Data Mining Practical Machine Learning Tools and Techniques , 2014 .
[53] Murtaza Haider,et al. Beyond the hype: Big data concepts, methods, and analytics , 2015, Int. J. Inf. Manag..
[54] Julie M. David. Big Data Mining (巨量資料探勘) , 2014 .
[55] M. Burgman,et al. Species distribution models: A comparison of statistical approaches for livestock and disease epidemics , 2017, PloS one.
[56] Shan Suthaharan,et al. Big data classification: problems and challenges in network intrusion prediction with machine learning , 2014, PERV.
[57] Yannis Charalabidis,et al. The World of Open Data: Concepts, Methods, Tools and Experiences , 2018 .
[58] Igor Balk,et al. Use of machine learning methods to classify Universities based on the income structure , 2017 .
[59] Constantine Kontokosta,et al. Applications of machine learning methods to identifying and predicting building retrofit opportunities , 2016 .
[60] Piet Demeester,et al. A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design , 2010, J. Mach. Learn. Res..
[61] L. Manovich,et al. Trending: The Promises and the Challenges of Big Social Data , 2012 .
[62] Amir F. Atiya,et al. An Empirical Comparison of Machine Learning Models for Time Series Forecasting , 2010 .
[63] Seth Flaxman,et al. European Union Regulations on Algorithmic Decision-Making and a "Right to Explanation" , 2016, AI Mag..