Below are the major task considered by the time series data mining community: Indexing (Query by Content): Given a query timeseries Q, and some similarity/dissimilarity measure D (Q,C), find the most similar time series in database DB (Chakrabarti etal. 2002 ; Faloutsos etal. 1994 ; ...
, 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 ...
In addition to being captured at regular time intervals, time series data can be captured whenever it happens—regardless of the time interval, such as in logs. Logs are a registry of events, processes, messages and communication between software applications and the operating system. Every executa...
The problem of detecting changes in data mining models that are induced from temporal databases is additionally discussed. 展开 关键词: Time Series Database Data Mining Information-theoretic Network Fuzzy Association DOI: 10.1142/9789812565402 被引量: 240 ...
WWW 2023丨时间序列(Time Series)论文汇总mp.weixin.qq.com/s/vcSYnAIUSOj1hmaVWEkH5g WWW(World Wide Web Conference)2023为中国计算机学会交叉/综合/新兴A类会议,也是计算机交叉学科领域最具影响力的会议之一,于北京时间4月30日至5月4日举行。许多不同的计算机学科领域都可投递WWW,包括但不限于NLP, Data ...
A graph-based method for anomaly detection in time series is described and the text also studies the implications of a novel and potentially useful representation of time series as strings. The problem of detecting changes in data mining models that are induced from temporal databases is ...
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 ...
Data miningis a process that turns reams of raw data into useful information. By utilizing software to look for patterns in large batches of data, businesses can learn more about their customers to develop more effective marketing strategies, increase sales, and decrease costs. Time series, such...
Time series data mining fromhere 论文Timeseries data mining(2012)中提出:时间序列数据挖掘包括7个基本任务和3个基础问题: 7 tasks: query by content clustering classification segmentation?? prediction anomaly detection motif discovery 3 Issues: data representation...
Using Data Mining with Time Series Data in Short-Term Stocks Prediction: A Literature Review & Almeida, P., Using Data Mining with Time Series Data in Short-Term Stocks Prediction: A Literature Review, International Journal of Intelligence Science... JM Azevedo,A Rui,P Almeida - 《智能科学国...