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Tentative Program

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Theme: “Future Technologies for Knowledge Discoveries in Data”

**For Available Speaker Slots**bigdata@enggconferences.com

September 07-08, 2017 Paris, France

Big Data Analysis and Data Mining4th International conference on

http://datamining.conferenceseries.com/

Data Mining 2017conferenceseries.com

Conference Highlights• Data Mining Applications in

Science, Engineering, Healthcare and Medicine

• Data Mining Methods and Algorithms

• Artificial Intelligence • Data Warehousing • Data Mining Tools and Software • Big Data Applications • Data Mining Tasks and Processes • Big Data Algorithm • Data Privacy and Ethics • Big Data Technologies • Data Mining Analysis • Cloud computing

• Social network analysis • Complexity and Algorithms • Business Analytics • Open Data • Optimization and Big Data • Forecasting from Big Data • OLAP Technologies • ETL (Extract, Transform and

Load) • New visualization techniques • Search and data mining • Kernel Methods • Frequent Pattern Mining • Clustering

conferenceseries.com Data Mining 2017

http://datamining.conferenceseries.com/

Tentative Scientific ProgramDAY 1 (Sep 7th, 2017)

Featured Speaker PresntationTitle: Data Mining in Big Data Analytics: Exploiting Resolution Scale, Addressing Bias, Having Analytical FocusFionn Murtagh, University of Derby, United KingdomTitle: Effective choice and ranking of alternatives in search and recommendation problemsFuad Aleskerov, National Research University Higher School of Economics, RussiaTitle: Extensions of Dynamic Programming: Applications for Decision Trees Mikhail Moshkov, King Abdullah University of Science and Technology (KAUST), Saudi Arabia

Featured Speaker Slot AvailableTitle: Maintenance of Engineering Systems by Big DataPetra Perne, Institute of Computer Vision and applied Computer Sciences, GermanyTitle: Vocational Computing: A Data Mining Application for the WorkplaceFillia Makedon, The University of Texas Arlington, United States

Renowned SpeakersTitle: Powerful and Novel Multivariate Statistical Approaches in Big Data Sets and in Data Mining With Applications to Bio-, Medical-, and Material-InformaticsDerrick K. Rollins, Iowa State University, USATitle: Injecting Big Data into Enterprise Data Mangaement Programs in Accordance with the DAMA-DMBOKAnne Marie Smith, EWSolutions, USATitle: Big Data - applied in healthcare context, the case study of diabetes Jenny Lundberg, Linnaeus University, SwedenTitle: Big Data – Big Challenge for Public Administration – Experiences of Pilot Project in Ministry of Public Administration of Republic SloveniaKarmen Kern Pipan, Ministry of Public Administration, SloveniaTitle: Business analytics applications in budget modelling to improve network performanceEleni Rozaki, Institute of Technology Tallaght, IrelandTitle: Cost-Sensitive Deep Neural Networks to Address Class Imbalanced ProblemKruy Seng, Lingnan University, Hong KongTitle: Regulatory Learning: what framework can be proposed to ensure that the financial environment can be controlled?Bertrand Hassani, Université Paris , FranceTitle: Process Before-after Order Data Verification/Prediction Systems based on Paraconsistent Annotated Logic Program Bf-EVALPSNKazumi Nakamatsu, University of Hyogo, JapanTitle: Scalable robust clustering method for large and sparse dataTommi Kärkkäinen, University of Jyväskylä, FinlandTitle: Manufacturing Production Line Modelling and Classification of associated NP-Hard problemsJoseph Bonello, University of Malta, Malta

Speaker Opportunity Available

September 07-08, 2017 Paris, France

Big Data Analysis and Data Mining4th International conference on

http://datamining.conferenceseries.com/

Title: A novel linear-time and memory saving approach for visual exploratory data analysis: data embedding and graph visualizationWitold Dzwinel, AGH University of Science and Technology, PolandTitle: Predicting Corporate MisconductBennett B. Borden,Drinker Biddle & Reath, United StatesTitle: SQL On Big Data – Technology, Architecture and InnovationsSumit Pal, Independent Consultant (Architect, Developer) Big Data & Data Science, United StatesTitle: Data Mining via Entropy: Application on Trade DatabaseAbdul Basit, Statistics & DWH Department, PakistanTitle: An Automatic Data Prediction System with Business ApplicationsMorgan C. Wang, University of Central Florida, United StatesTitle: Using Data Analytics to Drive Operational Efficiency in an African Call CenterMegan Yates, Ixio Analytics, South AfricaTitle: Prune the inputs, increase data volume, or select a different classification method – a strategy to improve accuracy of classificationAlla Sapronova, Uni Research Computing, NorwayTitle: Data is not wrong, but your use of it might be!Fred Jacquet, Evangelist, FranceTitle: A Complementary Square-Error Clustering Criterion and Initialization of K-MeansBoris Mirkin, Higher School of Economics, RussiaTitle: Multi-criteria Decision-making for Purchasing Cell Phones Using Machine Learning ApproachS.N.Mohanty, KIIT University, IndiaTitle: smart data acquisition and analysis for deep learning based systemsingPavel kisilev, Huawei Research / Toga networks, Israel

Pannel DiscussionDAY 2 (Sep 8th, 2017)

Featured Speaker PresntationTitle: Objective function-based clustering via near-Boolean optimizationGiovanni Rossi,University of Bologna, ItalyTitle: Big Data Challenges and Opportunities in the Developing WorldKassim S. Mwitondi,Sheffield Hallam University, United Kingdom

Featured Speaker Slot Available

Title: Optimisation of the data transfer of tool models by manipulation of the transfer data files

Claudia Kleinschrodt, University of Bayreuth, GermanyTitle: Using Deep Learning to detect anomalies and vulnerabilities in networking dataJames Sirota, Hortonworks, United States

Renowned SpeakersTitle: utilizing machine learning techniques in bioinformatics, specifically cancer detectionKefaya Qaddoum, Higher Colleges of Technology, United Arab EmiratesTitle: A Deep Learning Method to Identify and Data-Mine Points of Interest in Very Large Satellite ImagesKennard R. Laviers, Sul Ross State University, United StatesTitle: Optimum stratification of skewed populations using auxiliary variableDinesh K. Rao, University of the South Pacific, FijiTitle: Apache Ignite: Big Data meets Fast DataChristos Erotocritou, Grid Gain solutions, United Kingdom

http://datamining.conferenceseries.com/

Title: Review on Out of School Children Problem in Rajasthan using Clustering technique with Genetic AlgorithmAstha Pareek, THE IIS University,IndiaTitle: E-BABE- Arabic lexicon learning to analyze sentiment in microblogsMahmoud Rokaya, Taif University,Saudi ArabiaTitle: 5 Steps to a Killer Data LakeChuck Yarbrough, Pentaho, USATitle: From Knowledge to Wealth: Intellectual Property and Technology LicensingParameshwar P. Iyer, Indian Institute of Science, IndiaTitle: Multi-objective Optimization via VisualizationNicolas Wesner, Mazars Actuiariat, FranceTitle: Synergies between Data Mining and Operations Research: A New Paradigm of Business Analytics Pang Yan, NUS Business School, Singapore

Speaker Opportunity AvailableTitle: ESGF-Earth System Grid FederationDean N. Williams, Lawrence Livermore National Laboratory, USATitle: Development of a big data environment-based interactive fashion design platform for optimizing textile supply chainsXianyi Zeng,The ENSAIT Textile Institute, FranceTitle: Big data analytics and knowledge engineering “The power of "analytics" in value creationSoraya SEDKAOUI, TRIS Laboratory Montpellier, FranceTitle: An Adaptive Neural-Networks based Model for On-Line AdvertisingMassih-Reza Amini, Université Grenoble Alpes, FranceTitle:Deep Learning with Apache SparkKhanderao Kand, Oracle, United StatesTitle: Toward Big Data technology adoption at large scale - The dynamics of changesAbdelkrim Doufene,Massachusetts Institute of Technology, United StatesTitle: Investigating the use of Data Mining Techniques for Intelligent Student Recruitment: Case Study of Birmingham City UniversityJagdev Bhogal,Birmingham City University, United KingdomTitle: COMPUTERISING MATHEMATICAL TEXT, DEBUGGING PROOF ASSISTANTS AND OBJECT VERSUS METAL LEVELFairouz Kamareddine, Heriot-Watt University, United KingdomTitle: Dysl3xia - Detection of dyslexia by using Machine Learning TechniquesGeorgia Kalousou ,University of Aegean,GreeceTitle: Analyzing Large Scale Recurrent Event Data Using Parametric Frailty Model: a Divide-and-Conquer ApproachJerry Q. Cheng,Rutgers University, United States

Speaker Opportunity AvailablePannel Discussion

Group PhotoNOTE: Program Shedule is subject to change with final allotment of the speaker slots

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