[PDF] Top 20 On the detection of superdiffusive behaviour in time series
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On the detection of superdiffusive behaviour in time series
... well-understood and various techniques such as max- imum likelihood methods [11, 12], quantile matching [13] and linear regression of the empirical characteris- tic function [14, 15] are very effective for determining α ... See full document
15
Detection of ground motions using high rate GPS time series
... RT-Shake time delays are the result of: i) the time required (15s) for the seismic waves to reach the GPS antenna's location and ii) the required time for the accumulation of the displacement above ... See full document
45
Multidimensional Time Series Based Review Spam Detection
... mining. Time series is an important class of temporal data objects and it can be easily obtained from scientific and financial ...Moreover time series data, which is characterized by its ... See full document
14
Outlier Detection in Climatology Time Series with Sliding Window Prediction
... Anomaly detection and outlier mining are the different terms with almost same ...outlier detection is to find type of abnormality in any data set and find a way to spot that as an ...in time ... See full document
5
A novel symbolization technique for time series outlier detection
... outlier detection, sym- bolization is a common form of pre-processing in time series data, enabling less computational resources to be used and enabling the application of discrete ...outlier ... See full document
9
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
A Relative Deviation Detection for Time Series Data Based on Equality
... in time series ...deviation detection algorithm, which is equal to a simple robust ...deviation detection algorithm, we identify outliers in curve type successfully, which is similar to the ... See full document
6
A modified wavelet-based method for detection of outliers in time series
... the time domain to the time-frequency domain and vice versa, the images of coarse and fine parts of the observation vector in the time domain are computed by multiplying the observation vector by two ... See full document
7
Fake review detection using time series
... Additionally, a novel study in this area is done by Xie et al.(2012a). The approach attempts to detect singleton spam reviews. A singleton review is the only review written by a reviewer. The authors assumed that ... See full document
26
Detection and predictive modeling of chaos in finite hydrological time series
... deterministic series does not saturate based on an eye estimation and the objective techniques indicating that the system is ...daily series at the Colorado river. The MSE vs. Forecast lead time ... See full document
13
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series
... of time series data. Compared with tra- ditional time series data, it comes in big volume and typi- cally has a long seasonality ...these time series data is the seasonal-trend ... See full document
8
Anomaly behaviour detection based on the meta-Morisita index for large scale spatio-temporal data set
... models behaviour but it does so in a short time window such as one ...anomaly detection. Their work is also based on small size of time series which contains only 10 data ...the ... See full document
28
A Content-Adaptive Analysis and Representation Framework for Audio Event Discovery from "Unscripted" Multimedia
... a time series and identify subsequences that are ...outlier detection is based on eigenvector analysis of the affinity matrix constructed from statistical models estimated from the subsequences of the ... See full document
24
The Effect of Holding Time on the Compressive Strength of Mukono Ntawo Ball Clay
... holding time increased from 20 minutes to 60 minutes, fired clay samples showed small increase in compressive ...holding time. Prolonged holding time had no significant effect on the compressive ... See full document
8
Financial Market Dynamics: Superdiffusive or not?
... The behavior of stock market returns over a period of 1-60 days has been investigated for S&P 500 and Nasdaq within the framework of nonextensive Tsallis statistics. Even for such long terms, the distributions of the ... See full document
23
On the Model Reduction of Discrete Time-Varying Systems
... because reduced model systems operating under varying conditions, is needed in many applications, such as large space structures, flexible flight systems, nuclear reactors, microphone transmitter which contain a variable ... See full document
6
A time series classification method for behaviour based dropout prediction
... a time- series classification method to construct data based on students’ behavior and activities on a number of online distance learning ...the time series forest (TSF) classification ... See full document
5
Fuzzy Prediction Based Opportunistic Spectrum Access for Cognitive Radio
... [13] proposes binary time series approach for spectrum hole prediction. For a slotted LBT scheme, at a particular time, the slot is either busy or idle. CR can keep track of past data for prediction. ... See full document
13
The Effect of Ordering Policy Based on Extended Time-Delay Feedback Control on the Chaotic Behavior in Supply Chains
... A supply chain is a complex nonlinear system involving multiple levels and may have a chaotic behavior. The policy of each level in inventory control, demand forecast, and constraints and uncertainties of demand and ... See full document
6
Overview of the role of nanotechnological innovations in the detection and treatment of solid tumors
... The escalating incidence of cancer worldwide and the increased exposure to carcinogens necessitates radical advancements in cancer detection and treatment to improve therapeutic outcomes, as well as reduce the ... See full document
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