Background Info
INFOBEE, AS ONE OF MANY RESEARCH GROUPS FROM THE SCHOOL OF COMPUTING, IS WELL-VERSED WITH TECHNIQUES AND TOOLS THAT HELP IN DESCRIBING THE REAL-TIME AND DIAGNOSTIC ANALYSIS OF THE CAUSES OF SUCH A PHENOMENON. INFOBEE DEVELOPS ALGORITHMS THAT LEARN FROM DATA AND MAKES DATA-DRIVEN PREDICTIONS FOR DECISION-MAKING THAT HELP IN FINDING PRESCRIPTIVE ACTIONS. SOFT COMPUTING ALGORITHMS WERE DEVISED TO DEAL WITH IMPRECISION, UNCERTAINTY, PARTIAL TRUTH, AND APPROXIMATION IN DATA TO ACHIEVE A PRACTICAL, ROBUST AND LOW-COST SOLUTION TO VARIOUS PROBLEMS. INFOBEE HAS VAST EXPERIENCES IN APPLYING ITS TECHNIQUES IN VARIOUS APPLICATION DOMAINS, WHICH HAVE BEEN PROVEN TO SUPPORT PROBLEM-SOLVING IN MULTIPLE INDUSTRIES EFFECTIVELY.