Sequence Data MiningUnderstanding sequence data, and the ability to utilize this hidden knowledge, creates a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer purchase history, web surfing ...Springer USAdvances in Database Systems...
8. Data Mining Process-Related Problems 如何通过自动化改进数据挖掘工具和流程,包括如何自动化数据挖掘操作的构成,以及如何将方法构建到数据挖掘系统中,以帮助用户避免许多数据挖掘错误,减少人力成本。 如何自动清理数据。数据预处理占了大量人工成本,如何降低。 how to perform systematic documentation of data cleaning...
7.Discovering the maximal frequent sequence is an important branch in data mining. 最大频繁序列发现是数据挖掘中的一个重要分支. 8.Data mining is a process of extracting valid , previously unknown, comprehensible and actionable infonnation from database. ...
This section provides additional information about columns in the mining model content that have particular relevance for sequence clustering. MODEL_CATALOG Name of the database where the model is stored. MODEL_NAME Name of the model. ATTRIBUTE_NAME Always blank. NODE_NAME The name of the node....
This book provides thorough coverage of the existing results on sequence data mining as well as pattern types and associated pattern mining methods. It offers balanced coverage on data mining and sequence data analysis, allowing readers to access the state-of-the-art results in one place. ...
Discovering the maximal frequent sequence is an important branch indata mining. 最大频繁序列发现是数据挖掘中的一个重要分支. 期刊摘选 The flood of new information is helping spawn a sister industry:data miningsoftware. 新的信息流帮助诞生了姊妹产业: 数据采集软件. ...
Pei. Sequence Data Mining (Advances in Database Systems). Springer-Verlag New York, Inc., Secaucus, NJ, USA, 2007.Guozhu Dong , Jian Pei, Sequence Data Mining (Advances in Database Systems), Springer-Verlag New York, Inc., Secaucus, NJ, 2007...
In this research a new greedy sequence pattern mining algorithm for the data streams is introduced, it will be used to find the strongly supported sequences. The proposed algorithm is built based on the sequence tree which is used to find the sequential patterns in static databases. The ...
Data MiningUnderstanding sequence data, and the ability to utilize this hidden knowledge, will create a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer purchase history, web surfing history, and more.This book provides thorough coverage of...