Typicality and Eccentricity-based Data Analytics
Online fault detection based on typicality and eccentricity data analytics
... processes based on the recently introduced eccentricity and typicality data analytics (TEDA) ...on data streams. It is based on the measures of data density and ...
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Unsupervised classification of data streams based on typicality and eccentricity data analytics
... online data streams with real- time constraints. The past data do not need to be stored in memory, since that the algorithm is recursive, which makes it memory and computational power ...real data ...
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Typicality-Based Collaborative Filtering Recommendation System
... [3]Empirical experiments using a real dataset from del.icio.us. Experimental results show that the proposed algorithm offers significant advantages both in terms of improving the recommendation quality for sparse ...
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Active Analytics: Adapting Web Pages Automatically Based on Analytics Data
... usage data is only half of the problem we address in this ...areas based on the ...mining data from analytics as to what other pages are most useful to other users of this page is backed up by ...
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Cloud-Based Big Data Analytics in Bioinformatics
... Cloud-based services in bioinformatics are grouped into Data as a Service (DaaS), Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). [ Dai et al. Biology ...
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Data Analytics and Data monitoring Based on Database Recommendation A Comparison
... Keywords: Data Analytics, KDD, java, k-means, Apache Hadoop tool. I. INTRODUCTION Our world has advanced itself with increase in development with technology and constant growth towards science and business ...
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Causation, Responsibility, and Typicality
... and Typicality Justin Sytsma 1 Abstract: There is ample evidence that violations of injunctive norms impact ordinary causal ...accountability. Based on this account, we predicted a very different pattern of ...
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Towards Cloud-based Analytics-as-a-Service (CLAaaS) for Big Data Analytics in the Cloud
... the data about relevant factors such as the organizers, the guests, collocated events, the venue, attack strategy, and used firearms can reveal important information about the possible suspects and their ...
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Active Analytics: Suggesting Navigational Links to Users Based on Temporal Analytics Data
... Other research has been conducted to take advantage of Google Analytics reporting data to update sites. These systems have been designed to highlight the most popular areas at a given time, reflecting a ...
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A CIM-Based Framework for Utility Big Data Analytics
... CIM-based data models. Most of the today’s data query language, such as SQL, OCL, SPARQL, and XPATH, are either inappropriate for CIM models or too complicated for end ...
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Large-scale data mining analytics based on MapReduce
... different data mining algorithms are ...“Slow analytics” solution provided by Mahout is not acceptable in the real ...the data; for competitive performance, iterative algorithms require an in-memory ...
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A mobile network planning tool based on data analytics
... planning based on the information extracted from the previous data analysis ...score based on a given objective function (in our case, the QoS predicted by the model) ...
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Web-based Visual Analytics of Lifestyle Data in MyHealthAvatar
... etc., based on the device ...oriented data, such as blood pressure, glucose, ...important data source of health and lifestyle ...fitness data and daily lifestyle data of the ...
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Anomaly detection in GPS data based on visual analytics
... visual analytics system for anomaly de- tection in urban taxi GPS data streams, and demonstrated that such an approach effectively integrates the power of machine learning models with human ...the ...
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Data analytics based positioning of health informatics programs
... The bodies of knowledge in the field of computer science/information technology and the biomedical sciences are distinct and typically do not overlap. To design, develop and maintain an interdisciplinary HI curriculum, ...
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Cloud-Based Big Data Analytics in Bioinformatics: A Review
... in data storage and analysis, memory allocation, computational power and time ...big data analytics in bioinformatics on the ...growing data in ...big data to resort to use cloud ...
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Content-based Analytics: Moving Beyond Data Size
... boost data analytics ...create data models that measurably map dataset ...these data interrelations based on principled statistical and semantic axes taking into consideration: ...
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A kernel-based framework for medical big-data analytics
... patient data being stored online in a manner readily accessible to clinicians and health-care profession- als [1, ...physiological data, past clinical events, family his- tory, genetic tests, ...online ...
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RISK-BASED REGULATION OF CLINICAL HEALTH DATA ANALYTICS
... the data use: the greater the risk and potential for harm posed by a particular type of data activity, the greater the protections should ...that data can and should be used and exchanged with ...
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Data Analytics
... matplotlib based on a scheme known and quite familiar to most experts in the field, but also it also exploits those optimizations that over the years have led to a deducibility and simplicity in its use which ...
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