Results 71 to 80 of about 751,199 (239)
Multi-Level Association Rule Mining for Wireless Network Time Series Data [PDF]
, 2022 Chen Zhu +3 more
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Echo state network for occupancy prediction and pattern mining in intelligent environment [PDF]
, 2009 Pattern analysis and prediction of sensory data is becoming an increasing scientific challenge and a massive economical interest supports the need for better pattern mining techniques.
Langensiepen, C +4 more
core
Similarity Measure Based on Incremental Warping Window for Time Series Data Mining
IEEE Access, 2019 A similarity measure is one of the most important tasks in the fields of time series data mining. Its quality often affects the efficiency and effectiveness of the related algorithms that need to measure the similarity between two time series in advance.
Hailin Li, Cheng Wang
doaj +1 more source
, 2004 For the last years, time-series mining has become a challenging issue for researchers. An important application lies in most monitoring purposes, which require analyzing large sets of time-series for learning usual patterns.
Duchene, Florence +2 more
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Algoritmic methods for segmentation of time series: An overview
, 2014 Adaptive and innovative application of classical data mining principles and techniques in time series analysis has resulted in development of a concept known as time series data mining.
Lovrić, Miodrag +2 more
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Visual Mining of Spatial Time Series Data [PDF]
, 2004 CommonGIS is a system comprising a number of tools for visual data analysis. In this paper we demonstrate our recent developments for analysis of spatial time series data.
Gennady Andrienko +2 more
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Review of Outlier Detection Algorithms [PDF]
Jisuanji kexueOutlier detection,as an important research direction in the field of data mining,aims to discover data points in a dataset that are different from the majority and have potential analytical value,assistresearchers in identifying potential issues in the ...
KONG Lingchao, LIU Guozhu
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Study on Visual Techniques of Potential Pattern Discovery for Time Series Data
MATEC Web of Conferences, 2018 Sequential pattern mining is always a very important branch of time series data mining. The pattern mining with visual means can be used to extract the knowledge of time series data more intuitively. Based on the research content, this paper analyzes the
Xu Dalin, Wei Yingmei
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An Approach of Electrical Load Profile Analysis Based on Time Series Data Mining [PDF]
, 2020 Ying Shi +5 more
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Time series data mining methods
, 2015 Today, real world time series data sets can take a size up to a trillion observations and even more. Data miners’ task is it to detect new information that is hidden in this massive amount of data. While well known techniques for data mining in cross sections have been developed, time series data mining methods are not as sophisticated and established ...
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