An Overview on Data Mining and Data Fusion

Strong adoption of Internet and Communication technologies across industries in the last two decades has led to large-scale digitization business processes. While this helped instant availability information, over period, source amount information have increased multi-fold giving rise Big Data. With increase volume, relevance data its raw format continues decrease time. According HACE Theorem, Data autonomous sources being distributed decentralized a complex relationship with each other. Making sense ever-growing large pool become increasingly difficult created new problem waning initial gains made via systems This gave evolution multiple Mining techniques that classify volumes into relevant segments drive value help provide meaningful information. To extract discover knowledge from data, Knowledge Discovering Databases (KDD) refining data. paper discusses various mining identify patterns relationships make decisions using analysis. Furthermore, Fusion method is reviewed which deals joint analysis inter-related datasets providing complementary views further precise decision-making.