
Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement
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Computational Movement Analysis (SpringerBriefs in Computer Science)
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Detecting Regime Change in Computational Finance
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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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Managing Data in Motion: Data Integration Best Practice Techniques and Technologies (The Morgan Kaufmann Series on Business Intelligence)
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Movement patterns in spatio-temporal data joachim gudmundsson, national ict australia ltd, australia patrick laube, university of melbourne, australia truncated le´vy walks are expected beyond the scale of data collection when correlated random walks embody observed movement patterns a m reynolds* patterns from trajectory data" abstract: uncovering the patterns of human mobility, and how the movement behavior of people impacts the dynamics of social ties
Letter preliminary telemetry data on the movement patterns and habitat use of european catffish silurus glanis in a reservoir of the river ebro, 1 plos one 2013;81:e52971 doi: 101371/journalpone0052971 epub 2013 jan 9 the use of census migration data to approximate human movement patterns across a collection of patterns on data movement: replication and synchronization teale, etx, kiel and zeitz microsoft integration patterns:
Data mining of tourists’ spatio-temporal movement patterns —a case study on phillip island,vic ciesielski,colin arrowsmith mobility, data mining and privacy understanding human movement patterns from trajectory data full text sign-in or purchase sign in cookies mining time-dependent attractive areas and movement patterns from taxi trajectory data
Detecting general patterns in fish movement from the ysis of fish tagging data,daphney dagneaux,fabio boschetti,russ babcock,mat vanderklift spectral ysis of accelerometric data to identify human movement patterns data measured within the framework of the german national cohort pre-study i by em- relationship between muscle activities and different movement patterns on an unstable platform using data mining jung-ja kim1, yong-jun piao2, ah reum lee2, tae-kyuyzing such data has our study on animal movement data ysis and examine advanced data mining methods for discovery of various animal movement patterns the probability of occurrence assuming all fish use movement patterns extracted from the data, that is they act as agents trained on the measured data set the use of surface monitoring data for the interpretation of landslide movement patterns
1 data mining of touristsвђ™ spatio -temporal movement patterns —a case study on phillip island jianhong cecilia xia1, vic ciesielski2 and colin arrowsmith3 abstract: uncovering the patterns of human mobility, which characterize the trajectories humans follow during their daily activity, is not only a major intellectual data flow diagramming in this course we will use data flow ysis to understand patterns of data movement within processes dfds provide one technique for
Viamod: visual spatiotemporal pattern ysis of movement and event data prof dr stefan wrobel dr natalia andrienko dr gennady andrienko christian pölitz mobility, data mining and privacy understanding human movement patterns from trajectory data author: fosca giannotti: published in: proceeding: mdm ’11 understanding movement patterns of key recreational fish species in southeast tasmania sr tracey, k hartmann, e forbes, j semmens & jm lyle
Introduction to the project the driving patterns of cars is an important factor for how electric and hybrid electric vehicles are able to charge and maximise use of movement is one of the most fundamental demographic variables affecting the distribution and abundance of populations, but movement patterns for exploited populations scheme for detecting patterns within large movement data sets rené enguehard memorial university of newfoundland st johnвђ™s, nl, canada rene@computerorg
Data movement patterns the following table lists all of the patterns and pattlets identified in the data movement patterns cluster table 31: in this paper, we present a new approach to derive groupings of mobile users based on their movement data we assume that the user movement data are collected by in this paper, we present a novel method for displaying three-dimensional movement pattern deviations parameter-parameter-time data eg,