, Data Mining in Time Series Databases, World Scientific (2004).L Mark;M Last ;H Bunke; A Kandel.Data Mining in Time Series Database.World Scientific Press.2004.258-263Hetland, M. L. 2002, in Data Mining in Time Series Databases, ed. M. Last, A. Kandel and H. Bunke (World ...
Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods presented in ...
Data Mining In Time Series Databases 电子书 读后感 评分☆☆☆ 评分☆☆☆ 评分☆☆☆ 评分☆☆☆ 评分☆☆☆ 类似图书 点击查看全场最低价 出版者:World Scientific Pub Co Inc作者:Last, Mark (EDT)/ Kandel, Abraham (EDT)/ Bunke, Horst (EDT)出品人:页数:192译者:出版时间:...
Although statisticians have worked with time series for more than a century, many of their techniques hold little utility for researchers working with massive time series databases (for reasons discussed below). Below are the major task considered by the time series data mining community: Indexing ...
data mining; data streaming; time series data; indexing; query processing; data warehouses; advanced systems and applications; spatial databases; and moving... ZM Özsoyoglu,G Özsoyoglu,WC Hou - International Conference on Scientific & Statistical Database Management 被引量: 40发表: 2004年 ...
The problem of mining the time series data is that the quantity at different time may be very close or even equal to each other. To solve this problem, we propose a fuzzy linguistic summary as one of the data mining functions in our KDD (Knowledge Discovery in Databases) system to ...
Therefore, data mining has unique advantages in clinical big-data research, especially in large-scale medical public databases. This article introduced the main medical public database and described the steps, tasks, and models of data mining in simple language. Additionally, we described data-...
In the last decade there has been an explosion of interest in mining time series data. Literally hundreds of papers have introduced new algorithms to index, classify, cluster and segment time series. In this work we make the following claim. Much of this work has very little utility because ...
Fayyad further viewed data mining to be a single step in a larger process of knowledge discovery in databases (KDD). KDD is considered to be a more encompassing process that includes data warehousing, target data selection, data cleaning, preprocessing, transformation and reduction, data mining, ...
Lecturers may find this book useful for an advanced course on databases. Moreover, any graduate student working on time representation and reasoning, either in data or knowledge bases, should definitely read it. 展开 关键词: Data Mining Datenbank ...