International Conference On Data Analytics For Business And Industry
INTERNATIONAL CONFERENCE ON DATAANALYTICS FOR BUSINESS AND INDUSTRY26-27 OCTOBER 2020, KINGDOM OF BAHRAINWAY TOWARDS A SUSTAINABLE ECONOMYTECHNICALLY SPONSORED BYORGANIZED BYIN COLLABORATION WITHICDABI Microsoft Teams
Analytics for Business and Industry aims toprovide an excellent international platform toBIG DATADATA MININGresearchers, data scientists, business managers,E-COMMERCEand industry practitioners to meet and exchangeOPTIMIZATIONtheir ideas and novel approaches to the technicalDATA SCIENCERISK ANALYSISchallenges of a data driven world. It provides aDATA ANALYTICSpremierCLOUD COMPUTINGinterdisciplinaryforumforsharingSECURITY ANALYSISknowledge and discussing the most recentDATA VISUALIZATIONinnovations, trends, and practical challengesBUSINESS ANALYTICSencountered and solutions in the wide fields ofFINANCIAL ANALYTICSINSURANCE STATISTICSbig data and data analytics emerging in icated business analytics in the internalPATTERN RECOGNITIONPROJECT MANAGEMENTBUSINESS INTELLIGENCEWOMEN IN DATA SCIENCEoperational processes for marketing, sales,STATISTICS IN IT INDUSTRIESmanagement, designing strategies, etc. can playSUPPLY CHAIN MANAGEMENTa powerful role in developing any business sectorAPPLICATIONS OF DATA SCIENCEENERGY SYSTEMS AND EFFICIENCYthrough increasing its efficiency, supporting itsQUALITY CONTROL AND RELIABILITYdecision-makingIMAGE ANALYSIS AND TOMOGRAPHYunderuncertainty,andimproving its business operations, in today’scompetitive market.STATISTICAL AND FINANCIAL MODELINGBIOINFORMATICS AND HEALTH POLICY DECISION MAKINGARTIFICIAL INTELLIGENCE FOR BUSINESS AND INDUSTRY
UNIVERSITY OF BAHRAIN IN NUMBERSUOB RANKED#01 IN BAHRAINTOP 4% GLOBALLY#23 IN THE ARAB REGION#17 FOR CITATIONS PER PAPER#28 FOR ACADEMIC REPUTATION#40 FOR INTERNATIONAL RESEARCH NETWORKTOP 2% FOR EMPLOYER REPUTATION GLOBALLY#15 IN THE MENA REGION FOR EMPLOYER REPUTATION
AGENDA – DAY1: 26 OCTOBER 202008:00 – 09:00TECHNICAL SUPPORTUOB DOCUMENTARY VIDEO09:05 – 09:10OPENING CERMONY: PROF. RIYAD HAMZAH – UNIVERSITY OF BAHRAIN PRESIDENT09:10 – 09:15OPENING CERMONY: DEANSHIP OF GRADUATE STUDIES & SCIENTIFIC RESEARCH09:15 – 09:2009:20 – 09:3009:30 – 10:0010:00 – 10:30VIRTUAL MAIN HALL09:00 – 09:05OPENING CERMONY: CONFERENCE STEERING COMMITTEEBREAKKEYNOTE SPEAKER 1: PROF. FABRIZIO RUGGERIKEYNOTE SPEAKER 2: PROF. NALINI RAVISHANKER10:30 – 11:00KEYNOTE SPEAKER 3: PROF. DAVID BANKS11:00 – 11:30KEYNOTE SPEAKER 4: PROF. DANIEL JESKE11:30 – 11:35VIRTUAL HONOURING OF CONFERENCE KEYNOTE SPEAKERS11:35 – 12:00VIRTUAL ROOM 1HVIRTUAL ROOM 1IVIRTUAL ROOM 1JVIRTUAL ROOM 2HVIRTUAL ROOM 2IVIRTUAL ROOM 2JVIRTUAL ROOM 1FVIRTUAL ROOM 1G15:50 – 16:10VIRTUAL ROOM 2F15:30 – 15:50VIRTUAL ROOM 2D15:10 – 15:30VIRTUAL ROOM 2C14:50 – 15:10VIRTUAL ROOM 2B14:30 – 14:50BREAKVIRTUAL ROOM 2A14:10 – 14:30VIRTUAL ROOM 2G14:00 – 14:10VIRTUAL ROOM 1E13:40 – 14:00VIRTUAL ROOM 2E13:20 – 13:40VIRTUAL ROOM 1D13:00 – 13:20VIRTUAL ROOM 1C12:40 – 13:00VIRTUAL ROOM 1B12:20 – 12:40VIRTUAL ROOM 1A12:00 – 12:20BREAK
AGENDA – DAY2: 27 OCTOBER 202008:00 – 09:00TECHNICAL SUPPORTINDUSTRIAL TALK09:00 – 09:30GULF BUSINESS MACHINESTRUST HARD TO BUILD AND EASY TO BREAK - "ROLE OF ETHICS IN AI MODELS"09:30 – 09:40BREAKWORKSHOP09:40 – 12:00DEEP LEARNING WITH WEKAFROM INSTALLATION TO APPLICATIONS12:00 – 12:30CLOSING REMARKS
KEYNOTE SPEAKERSPROF. FABRIZIO RUGGERIHe is Research Director at CNR-IMATI (National Research Council – Institute of Applied Mathematics andInformation Technology), Milano, Italy, Adjunct Professor at QUT, Brisbane, Australia, and faculty in Ph.D.programs (Mathematics, Pavia-Milano Bicocca, Italy, and Statistics, Valparaiso, Chile). His main researchinterests are Bayesian and industrial statistics. He is Vice President of the International Statistical Institute(ISI), former President of the European Network for Business and Industrial Statistics (ENBIS) and theInternational Society for Bayesian Analysis (ISBA), and President of the International Society for Business andIndustrial Statistics (ISBIS). He authored over 100 articles and 5 books. He is Editor-in-Chief of AppliedStochastic Models in Business and Industry and Wiley StatsRef. He is Fellow of ISBA and American StatisticalAssociation (ASA), Honorary Member of ENBIS and Zellner Medal’s recipient.PROF. NALINI RAVISHANKERShe is professor in the Department of Statistics at the University of Connecticut (UConn), Storrs. Her currentresearch interests include time series and times-to-events analysis, Bayesian dynamic modelling, signalprocessing, and predictive inference. Her primary interdisciplinary research involves problems in finance,marketing, and transportation engineering. She has an undergraduate degree in statistics from PresidencyCollege, Chennai, India, and a PhD in statistics and operations research from the Stern School of Business,New York University. She has over 100 publications, has co-authored a textbook A First Course in LinearModel Theory, and is co-editor of the Handbook of Discrete-Valued Time Series, both published by Chapman& Hall/CRC. She is a fellow of the American Statistical Association, an elected member of the InternationalStatistical Institute, and an elected member of the CT Academy of Science and Engineering. She served asPresident of the International Society for Business and Industrial Statistics (ISBIS) 2017-2019 and as the VPfor Education Outreach for the New England Statistics Society (NESS) 2017-2020. She has served as thetheory and methods editor of Applied Stochastic Models in Business and Industry, and as an associate editorfor The American Statistician. She is currently co-editor-in-chief of the International Statistical Review and anassociate editor for the Journal of Forecasting, Chilean Journal of Statistics and Annals of Science andTechnology. She has offered several in-person and virtual workshops on R and time series analysis. Sheserves as the faculty coordinator in Statistics for UConn’s Early College Experience (ECE) concurrentenrolment program for CT high schools and has been involved in UConn’s pre-college summer programs forhigh school students.
KEYNOTE SPEAKERSPROF. DAVID BANKSHe is the Director of the Statistical and Applied Mathematics Institute, and a professor in the Department ofStatistical Science at Duke University. He obtained his PhD in statistics from Virginia Tech in 1984, then dida two-year postdoctoral fellowship at the University of California at Berkeley. He taught at Carnegie MellonUniversity and the University of Cambridge, was chief statistician at the U.S. Department of Transportation,and also worked at the National Institute of Standards and Technology and at the Food and DrugAdministration. He is a former editor of the Journal of the American Statistical Association and a foundingeditor of Statistics and Public Policy. He works in risk analysis, dynamic models for text networks, humanrights statistics, and some aspects of machine learning.PROF. DANIEL JESKEHe is a Professor in the department of statistics at the University of California, Riverside (USA), where heserved as the department chair during 2008-2015. He is also a Vice-Provost of Academic Personnel atUCR. He is an elected fellow of the American Statistical Association and served on the board of directorsduring 2014-2016. He is the Vice-President of Membership and President-Elect for the International Societyof Business and Industrial Statistics (ISBIS), a society of the International Statistical Institute (ISI). He is thecurrent Editor-in-Chief of The American Statistician and is the Chair of the Program Affiliates Committee ofthe National Institute of Statistical Sciences. His research interests include classification and predictionmethodologies, statistical process control methodologies, biostatistics applications, and reliability modelling.
CONFERENCE PAPERSVIRTUAL ROOM 1A12:00 – 14:00PROJECT MANAGEMENTCritical Success Factors as Antecedents of Sustainability in Higher Education Institutionsin Emerging Economies: The Case of BahrainAbdelansser Taha Ibrahim Mohamed; Salah Abdelhafeez Mostafa Ali;Abdelmoneim Bahyeldin Mohamed MetwallyPROJECT MANAGEMENTA STUDY OF USER STORY IN PRACTICEPrabhat Pokharel; Pramesh VaidyaSTATISTICAL & FINANCIAL MODELLINGA META-ANALYSIS OF FOREIGN DIRECT INVESTMENT AND ECONOMIC GROWTH:AN EMPIRICAL EVIDENCE FROM PAKISTAN DURING COVID 19 POLICY MAKINGAsma Khalid; Muhammad Hamdan Tahir; Hafiz Muhammad Bilal Asghar;Mubbasher Munir; Noman Arshed; Hafeez RehmanSTATISTICAL & FINANCIAL MODELLINGA NEW GENERALIZATION OF DAGUM DISTRIBUTION WITHAN APPLICATION TO FINANCIAL DATA SETSAliyu Ismail IshaqSTATISTICAL & FINANCIAL MODELLINGFORECASTING A FIRM'S POSITION BASED ON PITROSKI'S F-SCORE USING ARIMAAjinkya Chaudhari; Parag GhorpadeSTATISTICAL & FINANCIAL MODELLINGCOUNTER-CYCLICAL MONETARY POLICY FOR OVERCOMING COVID 19 INDUCED RECESSIONBY INTRODUCING INCENTIVE BASED DIGITAL CURRENCYMohammad Selim
CONFERENCE PAPERSVIRTUAL ROOM 1B12:00 – 14:00E-COMMERCEIMPACT OF E-COMMERCE ON BAHRAIN'S ECONOMY: A TIME SERIES ANALYSISIshaq Mohammad Salam Khattak; Muhammad Abrar ul Haq; Farheen Akram; Hafiz Abid Mahmood MalikE-COMMERCEPREDICTING REPURCHASE INTENTION USING TEXTUAL FEATURESOF ONLINE CUSTOMER REVIEWSDedy SuryadiE-COMMERCEUML MODELING OF ONLINE PUBLIC BUS RESERVATION SYSTEM IN EGYPTAyman R. Mohammed; Sally KassemE-COMMERCEFACTORS INFLUENCING CONSUMERS' ELECTRONIC WORD-OF-MOUTH (EWOM) INTENTIONAMONG GENERATION Y (GEN Y) TOWARDS TRAVEL DESTINATIONSNurul Aida Harun; Norazamimah Bogal; Masliana Tamrin; Surya Ahmad RoyaliE-COMMERCEPROPOSED MOBILE APPLICATION FOR ISLAMIC FINTECH E-SALAM SYSTEMAN APPROACH TO THE FINANCIAL INCLUSIONMohammad Allaymoun; Omer Awad Hag HamidE-COMMERCETHE SYNERGIC RELATIONSHIP BETWEEN E-COMMERCE AND SENTIMENT ANALYSIS:A CONTENT ANALYSIS OF PUBLISHED ARTICLES BETWEEN 2007 AND 2020Mariano Alberto Casas-Valadez; Alberto Faz-Mendoza; Cesar Esau Medina;Rodrigo Castañeda-Miranda; Nadia Karina Gamboa-Rosales; José Ricardo López-Robles
CONFERENCE PAPERSVIRTUAL ROOM 1C12:00 – 14:00APPLICATIONS OF DATA SCIENCECOMPARING ARTIFICIAL PANCREAS CONTROLLED BY HYBRID "CLOSED-LOOP" MACHINE LEARNING(ML) TRAINED ALGORITHM TO MULTI-DAILY INJECTION (MDI), INSULIN PUMP WITHOUT CGM AND"SENSOR ASSISTED" INSULIN PUMP THERAPIES FOR DT1 TREATMENTJoan Carles PeiroAPPLICATIONS OF DATA SCIENCEINCREMENTAL OUTLIER DETECTION IN AIR QUALITY DATA USING STATISTICAL METHODSSantosh KumarAPPLICATIONS OF DATA SCIENCEELEARNING BASED BOOK RECOMMENDATION USING COLLABORATIVE FILTERINGAND SEQUENTIAL PATTERN MININGTaushif Anwar; V Uma; Shahjad AAPPLICATIONS OF DATA SCIENCEANN BASED CRIME DETECTION AND PREDICTION USING TWITTER POSTS AND WEATHER DATAChamith Sanadagiri; Banage Kumara; Banujan KuhaneswaranAPPLICATIONS OF DATA SCIENCEASSESSING THE IMPACT OF TEXT PREPROCESSING IN SENTIMENT ANALYSIS OF SHORT SOCIALNETWORK MESSAGES IN THE RUSSIAN LANGUAGEEgor Araslanov; Evgeniy Komotskiy; Ebenezer AgbozoBIG DATATWEETS SENTIMENT ANALYSIS DURING COVID-19 PANDEMICMaha Ali Alanezi; Nabil Hewahi
CONFERENCE PAPERSVIRTUAL ROOM 1D12:00 – 14:00DATA ANALYTICSDATA ANALYTICS AND SME PERFORMANCE: A BIBLIOMETRIC ANALYSISMuzaffar Asad; Naveed Altaf; Aqeel Israr; Ghias ul Hassan KhanDATA ANALYTICSINVESTMENT IN HUMAN CAPITAL TO PROMOTE THE KNOWLEDGE-BASED ECONOMY:DATA ANALYSIS IN THE GCCSaeed Aldulaimi; Radwan Kharabsheh; Amer Al shishany; Abdulsattar AlazzawiDATA SCIENCEINDONESIAN SENTIMENT ANALYSIS: AN EXPERIMENTAL STUDY OF FOUR KERNEL FUNCTIONS ONSVM ALGORITHM WITH TF-IDFPulung Hendro PrastyoDATA SCIENCECOMPARING NAÏVE BAYES, DECISION TREE AND LOGISTIC REGRESSION METHODSIN FRAUDULENT CREDIT CARD TRANSACTIONSMaha Ali Alanezi; Zahra Mohamed; Marwa Homeed; Ahmed M. ZekiDATA SCIENCEBLOCKCHAIN APPLICATION IN MASS CUSTOMIZATION: A FURNITURE SECTOR EXAMPLENursena Baygin; Mehmet Baygin; Mehmet KarakoseDATA SCIENCEFACE MASK DETECTION USING MOBILENETV2 IN THE ERA OF COVID-19 PANDEMICSamuel Ady Sanjaya; Suryo Adi Rakhmawan
CONFERENCE PAPERSVIRTUAL ROOM 1E12:00 – 14:00ARTIFICIAL INTELLIGENCE FOR BUSINESS & INDUSTRIAL DATAIMAGE CLASSIFICATION USING CONVOLUTION NEURAL NETWORK BASED HASH ENCODINGAND PARTICLE SWARM OPTIMIZATIONSameer I. Ali Al-janabi; Sufyan T Faraj Al-Janabi; Belal Al-KhateebARTIFICIAL INTELLIGENCE FOR BUSINESS & INDUSTRIAL DATAARTIFICIAL INTELLIGENCE IN BANKING SECTOR: EVIDENCE FROM BAHRAINYomna Abdulla; Rabab Ebrahim; Sumathi KumaraswamyARTIFICIAL INTELLIGENCE FOR BUSINESS & INDUSTRIAL DATAGENDER CLASSIFICATION AND AGE PREDICTION USING CNN AND RESNET IN REAL-TIMEAsad Mustafa; Kevin MeehanARTIFICIAL INTELLIGENCE FOR BUSINESS & INDUSTRIAL DATAARTIFICIAL INTELLIGENCE AND DIGITAL TRANSFORMATION IN SUPPLY CHAIN MANAGEMENTA CASE STUDY IN SAUDI COMPANIESYousif Mohammed Alsharidah; Abdulsattar AlazzawiBUSINESS INTELLIGENCEA LITERATURE REVIEW OF ORGANIZATIONAL CULTURAL DRIVERS AFFECTINGTHE DIGITAL TRANSFORMATION OF THE BANKING SECTORMarwa Al-Faihani; Adel Al-AlawiBUSINESS INTELLIGENCEANALYSIS OF BUSINESS INTELLIGENCE IMPACT ON ORGANIZATIONAL PERFORMANCEShahnawaz Khan; Mohammed Redha Qader; Thirunavukkarasu Kannapiran; Satheesh Abimannan
CONFERENCE PAPERSVIRTUAL ROOM 1F12:00 – 14:00IMAGE ANALYSIS & TOMOGRAPHYA REVIEW OF CONDITION MONITORING AND FAULT DIAGNOSIS AND DETECTION OFROTATING MACHINERY BASED ON IMAGE ASPECTSOmar AlShorman; Mahmoud Saleh Masadeh; Fahed Alkahtani; Ahmad M. AlshormanIMAGE ANALYSIS & TOMOGRAPHYCOVID-19 DETECTION USING DEEP LEARNING METHODSMehmet Sevi; Ilhan AydinOPTIMIZATIONMODELING AND IMPLEMENTATION OF AN AUTOMATIC DRIP IRRIGATION SYSTEMSodessa Soma Shonkora; Ayodeji Olalekan SalauPATTERN RECOGNITIONHYBRID CLASSIFICATION METHOD TO DETECT THE PRESENCE OF HUMAN INA SMART BUILDING ENVIRONMENTNurul Farzana Ahmad Mahmud; Nor Azuana RamliPATTERN RECOGNITIONMEASURING ENGAGEMENT LEVEL IN CHILD-ROBOT INTERACTION USINGMACHINE LEARNING BASED DATA ANALYSISGeorge Sidiropoulos; George A Papakostas; Chris Lytridis; Christos Bazinas;Vassilis Kaburlasos; Efi Kourampa; Elpida KarageorgiouPATTERN RECOGNITIONHANDWRITING BASED PERSONALITY IDENTIFICATION USING TEXTURAL FEATURESAbdellatif Gahmousse; Chawki Djeddi; Abdeljalil Gattal; Imran Siddiqi
CONFERENCE PAPERSVIRTUAL ROOM 1G12:00 – 14:00BIOINFORMATICS & HEALTH POLICY DECISION MAKINGEMULATION OF A HAEMORRHAGE REMOVAL ROBOT USED DURINGNEUROSURGICAL TREATMENT OF GLIOMAMunyaradzi Charles Rushambwa; Mavis Gezimati; Richa Kushwaha;Rajkumar Palaniappan; Govindaraj P; Fizza Ghulam NabiBIOINFORMATICS & HEALTH POLICY DECISION MAKINGDT-CWPT BASED ENTROPIES FOR VOCAL FOLD PATHOLOGY DETECTIONFarah Nazlia Che Kassim; Vikneswaran Vijean; Hariharan Muthusamy;Zulkapli Abdullah; Rokiah Abdullah; Rajkumar PalaniappanBIOINFORMATICS & HEALTH POLICY DECISION MAKINGMONITORING OF PROLONGED AND ASYMMETRICAL POSTURE TO IMPROVE SITTING BEHAVIORMd Arif Reza Anwary; Michael Vassallo; Abdelhamid BouchachiaBIOINFORMATICS & HEALTH POLICY DECISION MAKINGCLASSIFICATION OF EPILEPTIC SEIZURES USING ARTIFICIAL NEURAL NETWORKWITH ADAPTIVE MOMENTUMAlaa Ali Hameed; Akhtar Jamil; Naim Mahmood Musleh Ajlouni;Jawad Rasheed; Adem Özyavaş; Zeynep OrmanBIOINFORMATICS & HEALTH POLICY DECISION MAKINGHAND IMAGE-BASED HUMAN AGE ESTIMATION USING A TIME DISTRIBUTED CNN-GRUIbrahim Guelzim; Mohammed Ait Abderrahmane; Abdelkaher Ait AbdelouahadBIOINFORMATICS & HEALTH POLICY DECISION MAKINGEARLY DETECTION OF ALZHEIMER DISEASES BASED ON SINGLE NUCLEOTIDE POLYMORPHISMS(SNPS) ANALYSIS AND MACHINE LEARNING TECHNIQUESHala Ahmed; Hassan Soliman; Mohammed M. Elmogy
CONFERENCE PAPERSVIRTUAL ROOM 1H12:00 – 14:00ARTIFICIAL INTELLIGENCE FOR BUSINESS & INDUSTRIAL DATAAUTOMATED CENSORABLE CONTENT IDENTIFICATION IN VIDEOS USING DEEP LEARNINGArul Treesa Mathew; Chenju Thomas; Akhil Krishnan; U Ganesh; Sneha Saibu; Thasni SalimARTIFICIAL INTELLIGENCE FOR BUSINESS & INDUSTRIAL DATADECISION MAKING USING INTERNET OF THINGS AND MACHINE LEARNING:A BIBLIOMETRIC APPROACH TO TRACKING MAIN RESEARCH THEMESNadia Karina Gamboa-Rosales; Andrea Castorena-Robles; Mariano Alberto Casas-Valadez;Manuel Jesus Cobo; Rodrigo Castañeda-Miranda; José Ricardo López-RoblesARTIFICIAL INTELLIGENCE FOR BUSINESS & INDUSTRIAL DATARISK BASED PAYMENT INTEGRITY EVALUATIONTahir Ekin; Greg LaKomskiQUALITY CONTROL & RELIABILITYA NEW FAMILY OF SKEW-NORMAL LIFETIME DISTRIBUTIONS FOR INDUSTRIAL APPLICATIONSEman Khorsheed; Hugo Salinas; Hassan BakouchQUALITY CONTROL & RELIABILITYA MACHINE LEARNING-BASED ERROR MODEL FOR QUALITY CONTROLOF FUNCTIONAL APPROXIMATE COMPUTINGMahmoud Saleh Masadeh; Omar AlShorman; Adam AlhawariQUALITY CONTROL & RELIABILITYANALYSIS OF A WARRANTY-BASED QUALITY MANAGEMENT SYSTEMIN THE CONSTRUCTION INDUSTRYMohammad Nagahisarchoghaei; Justin Dodd; Morteza Nagahi; Ghodsieh Ghanbari; Sujan Poudyal
CONFERENCE PAPERSVIRTUAL ROOM 1I12:00 – 14:00BIG DATAANALYSIS ON POWER OUTAGE BY USING BIG DATA ANALYTICSRosfarahanun Ali; Nor Azuana Ramli; Lilik J. AwalinSECURITY ANALYSISHYBRID INTRUSION DETECTION SYSTEM BASED ON DEEP LEARNINGAli Azawii Abdul Lateef; Sufyan T Faraj Al-Janabi; Belal Al-KhateebSECURITY ANALYSISNONPARAMETRIC KULLBACK-LEIBLER DISTANCE-BASED METHOD FORNETWORKS INTRUSION DETECTIONBouyeddou Benamar; Harrou FouziSECURITY ANALYSISANALYSIS OF SOFTWARE VULNERABILITIES USING EXPLORATORY DATA ANALYSIS (EDA)Raguvir S; Shekar BabuSECURITY ANALYSISDIGITAL FORENSIC EVIDENCE - THE MISSING LINK IN THREAT MODELINGAsif Iqbal; Johannes Olegård; Ranjana GhimireSECURITY ANALYSISTHE CYBER SECURITY IN THE AGE OF TELEWORK:A DESCRIPTIVE RESEARCH FRAMEWORK TROUGH SCIENCE MAPPINGCesar Esau Medina; Mariano Alberto Casas-Valadez; Alberto Faz-Mendoza; Rodrigo Castañeda-Miranda;Nadia Karina Gamboa-Rosales; José Ricardo López-Robles
CONFERENCE PAPERSVIRTUAL ROOM 1J12:00 – 14:00BIG DATABIG DATA STORAGE USING MODEL DRIVEN ENGINEERING: FROM BIG DATA META-MODELTO CLOUDERA PSM META-MODELAllae Erraissi; Mouad Banane; Abdessamad Belangour; Mohamed AzouaziBIG DATACOMPARING SEQUENTIAL AND PARALLEL WORD COUNTING METHODS IN FINDINGCOMMONLY USED WORDS BY DIFFERENT AUTHORSZahra Mohamed; Abdulla AlqaddoumiBIG DATAAPPLYING PARALLEL PROCESSING TO IMPROVE THE PERFORMANCE OFK-NEAREST NEIGHBOR ALGORITHMMaha Ali Alanezi; Abdulla AlqaddoumiCLOUD COMPUTINGA SURVEY ON CLOUD-BASED DISTRIBUTED COMPUTING SYSTEM FRAMEWORKSAhmad Alalawi; Alauddin Yousif Al-OmaryCLOUD COMPUTINGCLOUD COMPUTING RESOURCES: SURVEY OF ADVANTAGE, DISADVANTAGES AND PRICINGAhmad Alalawi; Alauddin Yousif Al-OmaryCLOUD COMPUTINGPERVASIVE COMPUTING PARADIGM: A SURVEYKhadijah AbdulSattar; Alauddin Yousif Al-Omary
CONFERENCE PAPERSVIRTUAL ROOM 2A14:10 – 16:10BUSINESS ANALYTICSTREE-BASED METHODS FOR LOAN APPROVALMohamed Alaradi; Sawsan HilalBUSINESS ANALYTICSPREDICTION OF STOCK PRICE AND DIRECTION USING NEURAL NETWORKS:DATASETS HYBRID MODELING APPROACHMohamed Alaradi; Nabil HewahiBUSINESS ANALYTICSFEMALE BOARD DIRECTORS AND CORPORATE FINANCIAL PERFORMANCE - A GCCEMPIRICAL EVIDENCEGehan Abdel-hady Mousa; Abdelmohsen Desoky; Elsayed ElamirBUSINESS ANALYTICSAN EMPIRICAL EXAMINATION ON THE DEGREE OF ACCOUNTING HARMONIZATIONOF PPE & INVENTORYAli Bokhammas; Abdelmohsen DesokyBUSINESS INTELLIGENCEDIGITAL ORIENTATION SCALE: DEVELOPMENT AND VALIDATIONMohammed Aliyu Dantsoho; Adamu Abubakar; Yazeed Muhammed;Nasiru Abdullahi; Kabiru Ringim; Salisu UmarBUSINESS INTELLIGENCEDEVELOPMENT OF A BAHRAINI OPEN DATA WEB PORTAL FOR INVESTMENT INDUSTRYEhab Juma Adwan; Zainab AlHujairi; Nayla Almuqahwi
CONFERENCE PAPERSVIRTUAL ROOM 2B14:10 – 16:10BUSINESS ANALYTICSDATA ANALYTICS OF STRATEGIC AGILITY IN ORGANIZATIONAL STRUCTURE AND EXCELLENCE:A CASE OF BAHRAIN CIVIL SERVICE SECTORMohamed Ahmed Almuran; Abdulsattar AlazzawiBUSINESS ANALYTICSMULTIPLE IMPUTATION OF MISSING DATA IN MARKETINGAnand V; Varsha MamidiBUSINESS ANALYTICSSUPPORTING TOOL FOR THE TRANSITION OF EXISTING SMALL AND MEDIUM ENTERPRISESTOWARDS INDUSTRY 4.0Miguel Baritto; Md Mashum Billal; S. M. Muntasir Nasim; Rumana Afroz Sultana;Mohammad Arani; Ahmed QureshiFINANCIAL ANALYTICSCAPITAL STRUCTURE, EQUITY OWNERSHIP AND EARNINGS MANAGEMENTFatima K. Rahma; Omar I. JuhmaniFINANCIAL ANALYTICSIMPROVING STOCK PREDICTION ACCURACY USING CNN AND LSTMJawad Rasheed; Akhtar Jamil; Alaa Ali Hameed; Muhammed Ilyas;Adem Özyavaş; Naim Mahmood Musleh AjlouniE-COMMERCEE-BANKING PHISHING DETECTION MODELS BASED ON CLASSICALMACHINE LEARNING ALGORITHMSOjo John Ajayi; Adebayo Adetunmbi; Toluwase Ayobami Olowookere
CONFERENCE PAPERSVIRTUAL ROOM 2C14:10 – 16:10BIG DATARANDOM FOREST VS. SVM VS. KNN IN CLASSIFYING SMARTPHONE ANDSMARTWATCH SENSOR DATA USING CRISP-DMSadiq Jaffer; Sayed Qasim Ali; Ahmed M. ZekiBIG DATASKYLINE COMPUTATION ON MULTICORE ARCHITECTURES: A SURVEYKhames Walid; Allel Hadjali; Mohand LaghaBIG DATAA HYBRID APPROACH FOR LINGUISTIC SUMMARIZATION OF TIME SERIESKhedidja Boulanouar; Allel Hadjali; Mohand LaghaBIG DATAPARALLEL PROGRAMMING FOR CLASSIFICATION ALGORITHMS USING LOGISTIC REGRESSIONAND ARTIFICIAL NEURAL NETWORKS: FRAMEWORK AND APPLICATIONSMohamed Almansoor; Mohamed Alaradi; Abdulla AlqaddoumiDATA MININGDETERMINING THE EFFECTS OF EARTHQUAKES THROUGH COMMENTS ON SOCIAL FORUMSAhmet Anil Mungen; Mehmet KayaDATA MININGSOFTWARE DEFECTS PREDICTION USING MACHINE LEARNING ALGORITHMSMarwa Assim; Qasem Obeidat; Mustafa Hammad
CONFERENCE PAPERSVIRTUAL ROOM 2D14:10 – 16:10APPLICATIONS OF DATA SCIENCEIMPROVE IRRIGATION TIMING DECISION FOR AGRICULTURE USINGREAL TIME DATA AND MACHINE LEARNINGJoão Cardoso; André Glória; Pedro SebastiãoAPPLICATIONS OF DATA SCIENCEIMPACT OF DIGITAL CAPABILITIES AND TECHNOLOGY SKILLS ON EFFECTIVENESSOF GOVERNMENT IN PUBLIC SERVICESPrabhat MittalAPPLICATIONS OF DATA SCIENCESLOW HYPERTEXT TRANSFER PROTOCOL MITIGATION MODELIN SOFTWARE DEFINED NETWORKSOpeyemi Aderiike Abisoye; Blessing AbisoyeAPPLICATIONS OF DATA SCIENCETIME-SERIES MODEL FOR FORECASTING SHORT-TERM FUTURE ADDITIONSOF RENEWABLE ENERGY TO WORLDWIDE CAPACITYQasem S Abu Al-Haija; Mashhour Al Tarayrah; Hesham EnshasyAPPLICATIONS OF DATA SCIENCEDECISION TREE BASED CUSTOMER ANALYSIS METHOD FORENERGY PLANNING IN SMART CITIESOrhan Yaman; Hasan Yetis; Mehmet KarakoseDATA ANALYTICSEVALUATION OF NEURAL NETWORK-BASED FIRE PREDICTION MODELS FOR SMART HOMEDolapo O Oniyelu-Banji; Olumide Adewale; Toluwase Ayobami Olowookere
CONFERENCE PAPERSVIRTUAL ROOM 2E14:10 – 16:10ARTIFICIAL INTELLIGENCE FOR BUSINESS & INDUSTRIAL DATAAN INTELLIGENT TRAFFIC MONITORING SYSTEM FOR NON- HELMETWEARING MOTORCYCLISTS DETECTIONSumisha Samuel; Saanu Reghunadh; Ashwin K; Sandeep Sabu; Sharath Nair; Renju VargheseARTIFICIAL INTELLIGENCE FOR BUSINESS & INDUSTRIAL DATADURATION ESTIMATION OF VEHICLE BASED PRODUCTION: CASE STUDY OF ASSEMBLY LINEMustafa Akpinar; Kevser Ovaz Akpinar; Engin Aktas; Omer Faruk Senocak;Hatice Donmez; Varol Cavdar; Osman Selcuk SariogluARTIFICIAL INTELLIGENCE FOR BUSINESS & INDUSTRIAL DATAENSEMBLE LEARNING MODEL FOR PREDICTION OF NATURAL GAS SPOT PRICEBASED ON LEAST SQUARES BOOSTING ALGORITHMAliyuda AliARTIFICIAL INTELLIGENCE FOR BUSINESS & INDUSTRIAL DATACOMPARATIVE STUDY FOR DEEP REINFORCEMENT LEARNING WITHCNN, RNN, AND LSTM IN AUTONOMOUS NAVIGATIONZiya Tan; Mehmet KarakoseENERGY SYSTEMS & EFFICIENCYENSEMBLE LEARNING MODELS FOR SHORT-TERM ELECTRICITY DEMAND FORECASTINGAhmed Ghareeb; Hussein Al-bayaty; Qubad Haseeb; Mohammed ZeinalabideenENERGY SYSTEMS & EFFICIENCYIMPACT OF NORMALIZATION ON BILSTM BASED MODELS FOR ENERGY DISAGGREGATIONMohammed Ayub; El-Sayed M. El-Alfy
CONFERENCE PAPERSVIRTUAL ROOM 2F14:10 – 16:10IMAGE ANALYSIS & TOMOGRAPHYDETERMINATION OF SWEETNESS LEVEL OF MUNTINGIA CALABURA USING HSV COLORSPACEMary Anne M. SahagunIMAGE ANALYSIS & TOMOGRAPHYREGION PROPOSAL AND OBJECT DETECTION USING HOG-BASED CNN FEATURE MAPAnima Pramanik; Harshvardhan; Chawki Djeddi; Sobhan Sarkar; Jhareswar MaitiOPTIMIZATIONMULTI-OBJECTIVE OPTIMIZATION FOR SUSTAINABLE CLOSED-LOOP SUPPLY CHAIN NETWORKUNDER DEMAND UNCERTAINTY: A GENETIC ALGORITHMAhmad Sobhan Abir; Ishtiaq Ahmed Bhuiyan; Mohammad Arani; Md Mashum BillalOPTIMIZATIONREINFORCEMENT LEARNING WITH THE CLASSICAL Q-LEARNING ALGORITHMFOR OPTIMIZING SINGLE INTERSECTION PERFORMANCEM Rosyidi; Sahid Bismantoko; Tri WidodoPATTERN RECOGNITIONA NEW APPROACH OF STAFF LINES REMOVAL FOR MANUSCRIPT DOCUMENTSMekhaznia Tahar; Chawki Djeddi; Ameur BenSefia; Akhtar JamilPATTERN RECOGNITIONAPPLICATION OF ADAPTIVE BACK-PROPAGATION NEURAL NETWORKSFOR PARKINSON'S DISEASE PREDICTIONAlaa Ali Hameed; Jawad Rasheed; Naim Mahmood Musleh Ajlouni;Akhtar Jamil; Adem Özyavaş; Zeynep Orman
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CONFERENCE PAPERSVIRTUAL ROOM 2I14:10 – 16:10CLOUD COMPUTINGA CO-SCHEDULING SYSTEM FOR FOG-NODE RECOMMENDATION ANDLOAD MANAGEMENT IN CLOUD-FOG ENVIRONMENT (COS FRLM)K J NaikCLOUD COMPUTINGSURVEY: ENERGY-EFFICIENT SCHEDULING APPROACHES FOR SENSOR-CLOUDAfrah Ali Yusuf; Alauddin Yousif Al-OmaryCLOUD COMPUTINGSECURITY AND POWER MANAGEMENT IN IOT AND FOG COMPUTING: A SURVEYAli Mohsin; Alauddin Yousif Al-OmaryENERGY SYSTEMS & EFFICIENCYAN INTELLIGENT PASSIVITY-BASED CONTROL FOR TIDAL POWERCONVERSION SYSTEM WITH PMSGYoucef Belkhier; Abdelyazid Achour; Rabindra Nath ShawENERGY SYSTEMS & EFFICIENCYTANDEM ORGANIC SOLAR CELL OPTIMIZATION USING RESPONSE SURFACE METHODOLOGYAyman R. Mohammed; Irene FahimENERGY SYSTEMS & EFFICIENCYA NEW AND RELIABLE OBJECTIVE FUNCTIONS FOR EXTRACTING THE UNKNOWN PARAMETERS OFSOLAR PHOTOVOLTAIC CELL USING POLITICAL OPTIMIZER ALGORITHMM Premkumar; R Sowmya; Pradeep Jangir; Jsv Siva Kumar
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Big data in cognitive computing will reach 18.6B USD globally by 2025 Big data application infrastructure will reach 11.7B USD globally by 2025 Big data in public safety and homeland security will reach 7.5B USD globally by 2025 Real-time data will be a key value proposition for all use cases, segments, and solutions Market leading companies are rapidly integrated big data technologies with IoT infrastructure
International Society for Bayesian Analysis (ISBA), and President of the International Society for Business and Industrial Statistics (ISBIS). He authored over 100 articles and 5 books. He is Editor-in-Chief of Applied Stochastic Models in Business and Industry and Wiley StatsRef. He is Fellow of ISBA and American Statistical
Analytics HOME Administration About Analytics 1 4 About Analytics This chapter introduces SonicWall Analytics. Analytics is designed to evaluate data collected by the firewall ecosystem, make policy decisions and take defensive actions using application- and user-based analytics.
In-Database Analytics: Predictive Analytics, Oracle Exadata and Oracle Business Intelligence Charlie Berger Sr. Director Product Management, Data Mining and Advanced Analytics . 12 years ―stem celling analytics‖ into Oracle Designed advanced analytics into database kernel to leverage relational
Q) Define Big Data Analytics. What are the various types of analytics? Big Data Analytics is the process of examining big data to uncover patterns, unearth trends, and find unknown correlations and other useful information to make faster and better decisions. Few Top Analytics tools are: MS Excel, SAS, IBM SPSS Modeler, R analytics,
A Hyperion Product Update What's New in Hyperion System 9 BI Essbase Analytics and Enterprise Analytics? Release summary Hyperion System 9 BI Essbase Analytics (Essbase Analytics) and Hyperion System 9 BI Enterprise Analytics (Enterprise Analytics) are analytic database engines within Hyperion System 9that allow our customers to develop and deploy custom applications.With .
tdwi.org 5 Introduction 1 See the TDWI Best Practices Report Next Generation Data Warehouse Platforms (Q4 2009), available on tdwi.org. Introduction to Big Data Analytics Big data analytics is where advanced analytic techniques operate on big data sets. Hence, big data analytics is really about two things—big data and analytics—plus how the two have teamed up to
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2014 Association of Certified Fraud Examiners, Inc. 2 of 16 Course Objectives How data analytics can be used to detect fraud Different tools to perform data analytics How to walk through the full data analytics process Red flags of fraud that appear in the data Data analytics tests that can be used to d
example, Netflix uses Big Data Analytics to prescribe favourite song/movie based on customer‟s interests, behaviour, day and time analysis. 3. Python For Big Data Analytics 3.1 . Advantages. of . Python for Big Data Analytics Python. is. the most popular language amongst Data Scientists for Data Analytics not only because of its ease in
