1 relative fields
DM&KDD,used in machine learning, databases, statistics,knowledge acquisition, data visualization, and high performance computing.
2 goal
turn data to knowledge
3 the progress of KDD
data selection, data cleaning, data transformation, pattern searching (data mining), and finding presentation, finding interpretation and finding evaluation
4 what is data mining
dataming is the process of analyzing data from different perspectives and summarizing it into
useful information - information that can be used to increase revenue, cuts costs, or both.
5 what is data
Data are any facts, numbers, or text that can be processed by a computer.
6 data mining tasks
Summarization, classification, clustering, association and trend analysis
7 data mining technologys
Association Rules. Artificial Neural Networks Statistical Techniques Machine learning
8 challanges
Develop new mining algorithms Develop effective means for data sampling, data reduction Develop schemes capable of mining over no homogenous data sets Develop new mining and search algorithms capable of extracting more complex relationships between fields and able to account for structure over the fields
