Temporal Data Mining
Ground Water Analyzation Using Query Optimization And Spatio-Temporal Data Mining Technology
... Data mining techniques were used to extraction of hidden predictive information from large ...Spatial Temporal data mining manages data whose geometry changes over ...of ...
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Clustering Algorithm for Temporal Data Mining: An Overview
... Temporal data mining is concerned with data mining of large sequential data ...sequential data, where records are indexed by ...sequential data could be linear ...
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Modelling Reservoir Water Release Decision Using Temporal Data Mining and Neural Network
... definitions, temporal data mining can be considered as mining temporal data from temporal data- ...base. Temporal data is those which are organized ...
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THE INTELLIGENT INTERFACE FOR ON-LINE ELECTRONIC MEDICAL RECORDS USING TEMPORAL DATA MINING
... predictive data entry model [1], [2], [3] in a cross-sectional ...considers temporal data mining using both a case specific and case independent ...based data. This paper first ...
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Traffic occurrence detection using spatio temporal data mining
... traffic data based on the mile post ...traffic data is analyzed and ...traffic data, mahalanobis distance is used to identify the potential events hapenning according to the traffic ...the ...
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Challenging Issues of Spatio-Temporal Data Mining
... Spatio-temporal data mining is becoming now very important field of research as it focuses the data for not only static view point but also on time and ...spatio-temporal data ...
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PRIVACY PRESERVING TEMPORAL DATA MINING
... Most temporal data mining techniques convert the temporal data into static representations and exploit existing 'static' machine learning techniques, thus potentially missing some of ...
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A Study of Events Logs from Elevated Volume of Logistics Information in Spatio-Temporal Data Mining
... as a sequence of spatial locations sampled at consecutive time-stamps. Spatio-temporal patterns in trajectories, which represent movement patterns of objects, can provide useful information for high quality ...
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COLOR DATA CLUSTERING ALGORITHMS (CDCA) USING SPATIAL TEMPORAL DATA MINING.
... Databases that store information about states of the real world across time are called temporal databases. Based on the issue of time in database systems, distinguish time as measured by the system and time as ...
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Geospatial and temporal data mining to combine railway low adhesion and rail defect data
... There was a strong correlation between 534 momentary slides and underbridge locations with an increase in the likelihood 535 presence/absence of momentary slides to 1.9 times the baselin[r] ...
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An Optimal Temporal and Feature Space Allocation in Supervised Data Mining
... In this study, we investigate a classic predictive modeling for temporal data mining, i.e., utilizing a number of past time sequences to predict a related future response movement. We propose a ...
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The PGST DBSCAN Algorithm for Mining Clusters from Massive Spatial temporal Data
... spatial- temporal data mining, is of great significance to the identification of hotpot region or sparse ...spatial- temporal clustering, it becomes impossible to identify the number of ...
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A Review on Mining Frequent Patterns on Temporal Data Using Basic Time Cubes
... ABSTRACT: Data mining is the process of analyse hidden patterns from the data which is very large in amount with different prospect and organize the useful information into the ...of data ...
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TEMPORAL DATABASES AND FREQUENT PATTERN MINING TECHNIQUES
... sequential data streams to unearth any hidden regularities is important in many applications ranging from finance to manufacturing processes to ...of temporal data mining techniques for such ...
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Human Mobility Mining Using Spatio-Temporal Data
... space-related data is becoming available at any time. Data is collected using multiple sources such as GPS and mobile computer logs, wireless communication devices, location-aware services and other ...
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Data mining temporal and indefinite relations with numerical dependencies
... In Section 2.3.2 we discussed a number of alternative approaches to temporal data mining. We now compare our approach to that of (Berger and Tuzhilin, 1998) which uses a restricted tem poral logic ...
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Data Mining for Big Data
... One of the major attributes of the Big Data is the immense volume of information spoke to by heterogeneous and assorted dimensionalities. This colossal volume of information originates from different locales like ...
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Mining the Temporal Dimension of the Information Propagation
... In the last decade, the interest in Social Network Analysis topics from researchers in the Data Mining area has increased very fast. Much effort has been devoted, for example, in the Community Discovery, ...
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Applied temporal Rule Mining to Time Series
... rule mining framework we used the so called Cylinder-Bell-Funnel data set [18, 13, ...proposed temporal rule mining frame- work trying to identify rules that relate the above three ...
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A BLARK extension for temporal annotation mining
... speech data and checking for linguistic and phonetic plausibility, originally designed for examining focus in Brazilian Portuguese (Gib- bon and Fernandes, ...annotation mining, and to incorporate re- ...
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