Digital Excavation Technology In Long-distance Teaching System's Application

As the rapid development of network technology,more and more attention is paid on thedistance learning system which iS based on Web.With the distance learning system,online learning,online testing,online tutoring are carried on,and the efficiency of studying and communion are greatly improved.At the same time,the distance learning education are promoted with the use ofdata mining and artificial intelligence.Data mining is a wide,crossed and new subject,involving databases,artificial intelligence,mathematical statistics,visualization,parallel computing and other fields.Through data mining , the high—level information such as the interesting knowledge and rule call be extracted . As the more and more use of distance learning and the information data,the problem and rule can be found in the large amounts of data through data mining technology,the intelligence of distance learning system is enhanced,and it is available to tutor,the learning method is and the efficiency of learning are improved.The use of data mining techniques in distance teaching system is studied,the intelligenceof distancelearning system is improved,the learning platform for learners is provided which is individual.The Apriori algorithm of association rules and classification techniques in data mining are introduced,for example,in"Data Structure"the the degree of influence of is mined with Apriori algorithm;the decision trees is generated with the decision trees classification algorithm,the factors is analyzed which lead to the students'achievement,the key areas affecting student learning are found,and the students'grades are improved.