Applications and Trends in Data Mining
Laith R. Flaih
laith.flaih@cihanuniversity.edu.iq
Abstract- Data mining is defined as a process used to extract usable data from a larger set of any raw data. It implies analyzing data patterns in large batches of data using one or more software. Data mining has applications in multiple fields, like science and research. As an application of data mining, businesses can learn more about their customers and develop more effective strategies related to various business functions and in turn leverage resources in a more optimal and insightful manner. This helps businesses be closer to their objective and make better decisions. Data mining involves effective data collection and warehousing as well as computer processing. For segmenting the data and evaluating the probability of future events, data mining uses sophisticated mathematical algorithms. Data mining is also known as Knowledge Discovery in Data (KDD), in this seminar we will discuss the following points:-
Data mining applications
Data mining system products and research prototypes
Additional themes on data mining
Social impacts of data mining
Trends in data mining
Keywords- Data Mining, Knowledge Discovery in Data, Big data
Date: 15/3/2021
Place: Department Computer Science