[PDF] Top 20 Predefined pattern detection in large time series
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Predefined pattern detection in large time series
... Predefined pattern detection from time series is a quite challenging topic, because it is not only sensitive to noise, but also sensitive to temporal and magnitude ...predefined pattern ... See full document
15
Monitoring of Drum-boiler Process Using Statistical Techniques - Volume 2 Number 3 (Jun. 2011) - IJCEA
... clustering time series data and moving window based pattern matching have been proposed for detection of normal as well as faulty conditions in the ...given time period of interest; for ... See full document
8
Data Abstraction for Visualizing Large Time Series
... in time series ...abstracted time series by line plot, bar graph, and similar methods ...volve time. Rules describing re-occurring pattern sequences in time series ... See full document
23
A novel symbolization technique for time series outlier detection
... Outlier detection within temporal data finds application in a vast range of application areas, with examples including: the detection of changes in the stock market; electronic system diagnostics; ... See full document
9
On the detection of superdiffusive behaviour in time series
... Whereas the standard methods such as quantile match- ing, linear regression of the empirical characteristic function and maximum likelihood estimators are by far superior in estimating the stable parameter α in the case ... See full document
15
Online pattern recognition in subsequence time series clustering
... Mining Time Series data has a tremendous growth of interest in today's ...Clustering time series is a trouble that has applications in an extensive assortment of fields and has recently ... See full document
6
SMOKE DETECTION BASED ON IMAGE PROCESSING BY USING GREY AND TRANSPARENCY FEATURES
... fuzzy time series (FTS) is capable in dealing deal with historical data in the form of linguistic ...time series. They also proposed the two classes of the FTS model known as time- ... See full document
13
Clustering Inverse: A Generalized Model for Pattern Based Time Series Segmentation
... histogram time series of each image is 256, as shown in the middle column of Figure ...the pattern template set in Figure 6 is adopted for ...similar pattern template set also can be adopted ... See full document
11
Discriminative Feature Extraction of Time-Series Data to Improve Temporal Pattern Detection using Classification Algorithms
... to large amounts of data, how best to derive useful information from a given data set is not always ...the time required to train a desired ...a time-series data set, many features of the data ... See full document
101
Improving Performance In Pattern Discovery, Modification Applied In Algorithm For Time Series
... Time series analysis is a wide field of studies that comprehends detecting features in time series, such as trend, periodicity, seasonality, etc, in order to fit a model that depends on ... See full document
6
Multi-Granular Trend Detection for Time-Series Analysis
... 200 time series representing the value (in percentage) added by industry to the GDP of different countries across the ...of time series in the data set, direct visual analysis is ...in ... See full document
11
simple algorithms for peak detection in time series ACADABAI2009
... given time-series is important in many ...univariate time-series, there is a need to formalize the notion of a peak to avoid subjectivity and to devise algorithms to automatically detect peaks ... See full document
13
Pattern of government spending in Nigeria: a time series analysis
... a large public expenditure on the ground that it puts money into circulation, increased investment and employment and reduces tax averseness (Keynes, 1936; Ranjan&Sharma, 2008; Cooray, ... See full document
7
Outlier Detection in Climatology Time Series with Sliding Window Prediction
... The time series are parted in accordance with the size of sliding ...a predefined threshold then the specific point will be treated as an ...climatology time series data and also ... See full document
5
Fake review detection using time series
... as spam in their method. Therefore the accuracy of their proposed technique will be profoundly apposed by this fact. Another high accurate method in the table is the one proposed by Ott et al.( 2012). They have produced ... See full document
26
Time series clustering in large data sets
... perform time series clustering on much larger data- set to obtain more accurate results and to fi nd the correlation between confi gured parameters and re- sults more ...of time series ...songs ... See full document
6
Pattern Discovery in Hydrological Time Series Data Mining during the Monsoon Period of the High Flood Years in Brahmaputra River Basin
... and pattern discovery in hydrological time series data mining [14], Flood pattern detection using sliding window technique [17], Applications of Data Mining in Hydrology [11], Runoff ... See full document
8
Multidimensional Time Series Based Review Spam Detection
... Therefore, the spam detection rates found are 20%, 18% and 14% for the stores Auto_parts_warehouse.com, Dhgate.com and Neweggs.com respectively. By observation, most of the burst discovered is indeed during the ... See full document
14
Discovery of Temporal Association Rules in Multivariate Time Series
... The large size, numeric, and temporal ordering natures of time series make temporal association rule mining ...multivariate time series, which is proved to be scalable in terms of the ... See full document
7
A PATTERN ANALYSIS APPLICATION: TIME SERIES TRACES OF THE EFFECT OF KAMRAN KHAVARANI’S PAINTINGS ON VIEWERS’ MOOD
... The first data set we use contains 252 rows, one for each subject, and columns reflecting gender, the age group (there are 7 groups, 5-10, 11-15,16-20,……., 41-50 and over 50) and the order in which the subjects visited ... See full document
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