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APPLICATIONS & TRENDS - Coggle Diagram
APPLICATIONS & TRENDS
DATA SCIENCES
DATA CHARACTERISTICS
DEFINITION OF DATA SCIENCES
INCORPORATES ELEMENTS OF
EXPLORATORY DATA ANALYSIS AND VISUALIZATION
MACHINE LEARNING AND STATISTIC
HIGH-PERFORMANCE COMPUTING TECHNOLOGIES FOR DEALING WITH SCALE
MULTIDISCIPLINARY DOMAINS
CAN BE DEFINED AS THE SCIENCE WHICH USES COMPUTER SCIENCE, STATISTICS AND MACHINE LEARNING, VISUALIZATION AND HUMAN-COMPUTER INTERACTIONS TO COLLECT, CLEAN, INTEGRATE, ANALYZE, VISUALIZE, INTERACT WITH DATA TO CREATE DATA PRODUCTS
THE GOAL OF DATA SCIENCE IS TO TURN DATA INTO DATA PRODUCTS
TRANSACTION DATABASES -> FRAUD DETECTION
WIRELESS SENSOR DATA -> SMART HOME
TEXT DATA, SOCIAL MEDIA DATA -> PRODUCT REVIEW AND CONSUMER SATISFACTION
SOFTWARE LOG DATA ->AUTOMATIC TROUBLE SHOOTING
GENOTYOE AND PHENOTYPE DATA -> NEW TREATMENT FOR CANCER
OTHER DATA PRODUCTS
FINANCIAL PRODUCTS FOR INVESTMENT OR RETIREMENT FUNDS
LEGAL PROFESSION USES E-DISCOVERY TOOL FOR RETRIEVAL AND REVIEW OF LEGAL DOCUMENTS
POLITICAL CAMPAIGN MANAGEMENT
REMOTE SENSING FOR ENVIRONMENT MONITORING
DATA PRODUCTS - GOOGLE
DATA PRODUCTS - LINKEDIN/FACEBOOK
DATA PRODUCTS - TWITTER
PRODUCTS
CHALLENGES
PREPARING DATA ( NOISY, INCOMPLETE, DIVERSE, STREAMING ...)
ANALYZE DATA ( SCALABLE , ACCURATE, REAL-TIME, ADVANCE METHODS , PROBABILITIES AND UNCERTAINTIES ...)
REPRESENT ANALYSIS RESULTS