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Line graphs are usually considered to be the best choice for visualizing time series data, whereas sometimes also scatter plots are used for showing main trends. So far there are no guidelines that indicate which of these visualization methods better display trends in time series for a given canvas. Assuming that the main information in a time series is its overall trend, we propose an algorithm that...
Automatic discrimination of big time series trends is researched in this paper. We focus on the three steps of traditional spectral clustering, that are similarity matrix construction, eigenvalue decomposition and eigenvector selection, and K-means clustering of the selected eigenvector, an algorithm based on MapReduce framework is designed. In order to achieve the goal for automatic identification...
With the Massive open online courses (MOOCs) platform Coursera, Udacity and edX established in the United States, MOOCs led to a major change of education in global. MOOCs have experienced the development process of Network Course, National Excellent Network Courses, and Excellent Resource Sharing Course, HMOOCs by pushing with the government, colleges and universities in China. MOOCs are applied...
Business Intelligence aims at providing information to non expert users to make appropriate decisions. To access decisional information, the decision maker should express his/her requirements in Natural Language interfaces instead of technical languages, to avoid IT designer dependency and formal language's unfamiliarity. A Natural Language query is formulated according to several types such as WH-questions...
Both the current trends in technology such as smart phones, general mobile devices, stationary sensors and satellites as well as a new user mentality of utilizing this technology to voluntarily share information produce a huge flood of geo-textual data. Such data includes microblogging platforms such as Twitter, social networks such as Facebook, and data from news stations. Such geo-textual data allows...
Increasing greening has been occurring for land use and land cover of fast urbanization areas is surprising. This paper introduce a new method for greening trend analyzing based on the results of a newly developed algorithm called CCDC (Continuous Change Detection and Classification). This method is capable of separating change caused by abrupt and gradual changes, and providing information on the...
Distributions of various parametric and nonparametric tests are studied using methods of statistical modeling. Such tests are designed to test hypotheses for randomness or absence of a trend in dispersion characteristics. Respective studies are carried out for different sample sizes with the tested hypothesis being true. Procedure of interactive simulation of distributions of the test statistics is...
Complexities of smart grid and increasing share of renewable resources require development of intelligent decision-making support systems. Predictive Analysis of the power system extended several hours into near future can provide an insight into potential operational emergencies and assist in taking proactive corrective actions. The proposed prediction of network conditions takes advantage of load...
Agriculture is the backbone of Indian Economy. Most of the agriculture sector depends upon weather parameters. So, Weather has significant influence on every phase of agriculture activity from preparatory tillage to harvesting and storage. A sound knowledge of climate factors and its interactions with crop is essential for successful agriculture. Occurrences of erratic weather are beyond human control...
A simple computational method for estimating the frequency of the periodic component of a signal is offered, which is based on the analysis of the numbers of zero-level crossings. It is shown that the proposed method provides acceptable relative estimation errors. Error reduction methods are offered.
Understanding the dynamics of vegetation activity and its interaction with climate factors becomes an important issue in global change research. In this study, using satellite-derived normalized difference vegetation index (NDVI) data, we analyzed changes in vegetation growth at the region scale from 2000 to 2013 in Sichuan Province, China. And then explored the relationship between NDVI trends and...
This paper focuses on the definition of primitives and the presentation and detection of trends in the field of trend studies. An algorithm using the inertia test to detect trends is also proposed. Experiment results explain the reason why traditional primitives can fit sequential data well, while exposing their limitations at the same time.
A time series is usually decomposed as trend and irregular parts. Generally the trend part is treated by regression or filtering methods. There are some shortcomings associated with these methods, either the form of trend is too simple to represent some complex trend patterns, or no concrete trend formula is available. Considering the trend part as the inherent dynamics conveyed by the time series,...
To satisfy the continuously increasing demand for high data rates and mobility required by new wireless applications, the 5G has gained much attention recently. Radio frequency power amplifiers (RF-PAs), as one of critical components of 5G transmitter system, are becoming a hot issue. In this paper, the statistical analysis on RF PA papers shows the research on RF-PAs in Asia-Pacific and cooperation...
In this paper, a pattern trend-based data mining approach has been proposed which convert the numeric stock data to symbolic notations, carries out association analysis through comparative study of apriori and proposed modified reverse apriori concepts and further applies the mined rules in predicting the movement of prices. Application of modified reverse apriori has shown drastic reduction in the...
The continuous increasing needs in telemedicine and healthcare, accentuate the need of well-adapted medical alert systems. Such alert systems may be used by a variety of patients and medical actors, and should allow monitoring a wide range of medical variables. This paper proposes Tempas, a personalized temporal alert system. It facilitates customized alert configuration by using linguistic trends...
Currently climate change is one of the major problems encountered due to the climatic controls interacting in various intensities and in different combinations. The proposed system includes mechanism that accepts/processes gathered data from Agricultural Research Center. The system uses Time Series Analysis; the collection of observations of well-defined data items obtained through repeated measurements...
Relative risk plays an important role in identifying and assessing diseases in the case-control association study, but the homogeneity and heterogeneity of the RR is often ignored in M stratum 2*2 tables and cohort (2*k tables) studies. This paper proposes a hypothesis test for homogeneity and heterogeneity of the RR based on the M-H methods.
A method for solving problems of digital signal processing of video pulse ground penetrating radar (GPR) data based on a generalized approach is proposed. The effective procedure of removing the trend from a GPR signal is synthesized on the basis of Kravchenko-Gauss wavelets. The noise level caused by edge effects is minimized in this procedure. The estimation stability of radio contrasts of images...
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