Page 13 - Demo

%u062c%u0645%u064a%u0639 %u0627%u0644%u062d%u0642%u0648%u0642 %u0645%u062d%u0641%u0648%u0638%u0629 %u0640 %u0627%u0625%u0644%u0639%u062a%u062f%u0627%u0621 %u0639%u0649%u0644 %u062d%u0642 %u0627%u0645%u0644%u0624%u0644%u0641 %u0628%u0627%u0644%u0646%u0633%u062e %u0623%u0648 %u0627%u0644%u0637%u0628%u0627%u0639%u0629 %u064a%u0639%u0631%u0636 %u0641%u0627%u0639%u0644%u0647 %u0644%u0644%u0645%u0633%u0627%u0626%u0644%u0629 %u0627%u0644%u0642%u0627%u0646%u0648%u0646%u064a%u062913other disciplines, and the consideration of semantic ties among data objects. In addition, mining methodologies should consider issues such as data uncertainty, noise, and incompleteness. Some mining methods explore how user specified measures can be used to assess the interestingness of discovered patterns as well as guide the discovery process. 2. User Interaction: The user plays an important role in the data mining process. Interesting areas of research include how to interact with a data mining system, how to incorporate a user%u2019s background knowledge in mining, and how to visualize and comprehend data mining results. 3. Efficiency and Scalability: Data mining algorithms must be efficient and scalable to effectively extract information from huge amounts of data in many data repositories or in dynamic data streams. In other words, the running time of a data mining algorithm must be predictable, short, and acceptable by applications. 4. Diversity of data types : The wide diversity of database types brings about challenges to data mining. Diverse applications generate a wide spectrum of new data types, from structured data such as relational and data warehouse data to semi-structured and unstructured data; from stable data repositories to dynamic data streams; from simple data objects to temporal data. Multiple sources of data are connected by the Internet and various kinds of networks form gigantic, distributed, and heterogeneous global information systems and networks. 5. Data Mining and Society: With data mining penetrating our everyday lives, it is important to study the impact of data mining on society. Data mining poses the risk of disclosing an individual%u2019s personal information.