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Approaches to the filtering of data

A review of Content and Collaborative filtering approaches on Movielens Data

A review of Content and Collaborative filtering approaches on Movielens Data

... information filtering tool in online social network. Collaborative filtering recommendations are based on similarity of users or items, all data should be compared with each other in order to ...

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Filtering Approaches in Medical Image Processing: A Tutorial

Filtering Approaches in Medical Image Processing: A Tutorial

... image data acquisition from patient using imaging systems comprising of sensors, transducers, Analog-to Digital Converters and storage ...the data is processed by filtering and image ...Images ...

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Reviewing Cluster Based Collaborative Filtering Approaches

Reviewing Cluster Based Collaborative Filtering Approaches

... type data. This means that the E-Commerce data always have many kinds of data types, like numer- ical, nominal, set and ...of data, FP-Tree is ...

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Scalable Filtering Approaches for Recommendation Systems in E-Commerce

Scalable Filtering Approaches for Recommendation Systems in E-Commerce

... various data stored in ...information filtering. Among the various types of information filtering that have been proposed, the techniques fall into two categories: content-based filtering and ...

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A comparison of nonlinear filtering approaches in the context of an HIV model

A comparison of nonlinear filtering approaches in the context of an HIV model

... longitudinal data sets (data points are often very expensive both in financial costs of associated assays as well as in emotional/physical costs to patients), the data itself is frequently censored ...

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Scalable Collaborative Filtering Approaches for Large Recommender Systems

Scalable Collaborative Filtering Approaches for Large Recommender Systems

... collaborative filtering (CF) using known user ratings of items has proved to be effective for predicting user preferences in item ...CF approaches are usually designed to work on very large data ...

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Context-aware movie recommendations: An empirical comparison of pre-filtering, post-filtering and contextual modeling approaches

Context-aware movie recommendations: An empirical comparison of pre-filtering, post-filtering and contextual modeling approaches

... preference data for items according to the context in which such data were generated, in cases where there exist significant differences in the user preferences received by items among ...preference ...

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SMS Spam Filtering: Methods and Data

SMS Spam Filtering: Methods and Data

... address-based filtering approaches which aim to predict whether a sender is a potential spammer or ...collaborative filtering techniques, which is to predict whether the message itself is spam or ...

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Two Approaches on Implementation of CBR and CRM Technologies to the Spam Filtering Problem

Two Approaches on Implementation of CBR and CRM Technologies to the Spam Filtering Problem

... Efficiently usage of collected data; Automation of process. In this paper we consider CRM theory as a manage- ment of relation between customers and their choices. By learning relevant information about the ...

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Recommending Web Pages using Item-based Collaborative Filtering Approaches

Recommending Web Pages using Item-based Collaborative Filtering Approaches

... The websites of Governments and Public Institutions typically offer large amounts of data which are usually organized in thematic categories and nested sections that gen- erally form large trees with high height. ...

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Collaborative Filtering Method for Data Rating Prediction

Collaborative Filtering Method for Data Rating Prediction

... available data, and later used to predict ratings of users for new ...Model-based approaches for the task of recommending items are numerous and include Bayesian Clustering, Latent Semantic Analysis, Latent ...

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Adaptive filtering of physiological noises in fNIRS data

Adaptive filtering of physiological noises in fNIRS data

... Wiener filtering [22], correlation-based signal correction [23], wavelet transform [24], combined moving average and wavelet [25], an autoregressive model [26], spline interpolation [27], inde- pendent component ...

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Low-cost MEMS-INS/GPS integration using nonlinear filtering approaches

Low-cost MEMS-INS/GPS integration using nonlinear filtering approaches

... GPS data are usually integrated in a loosely-coupled manner, where the position and velocity are exploited in the integration ...GPS data processing, another is used for integration purpose, the mutual ...

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Interacting Multiple Model Particle-type Filtering Approaches to Ground Target Tracking

Interacting Multiple Model Particle-type Filtering Approaches to Ground Target Tracking

... His research interests include nonlinear control, particle filter and target tracking. Zheng Qin is a Professor of the school of software, doctoral mentor of department of computer science and technology, Tsinghua ...

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Artificial Intelligence Approaches for Filtering of Spams

Artificial Intelligence Approaches for Filtering of Spams

... Z hľadiska zvýšenia samotnej úspešnosti klasifikácie je to dôleţité preto, ţe existujú slová, ktoré sa vyskytovali len malom počte správ z mnoţiny určenej na učenie alebo ich počet v[r] ...

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Image Data Filtering to the Cloud

Image Data Filtering to the Cloud

... control applications Trigger used for video data recording and inside alarm A circular memory buffer continually stores the last 30 seconds of imagery from each camera in the system. If Eutecus video analytics ...

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Filtering the Web to Feed Data Warehouses

Filtering the Web to Feed Data Warehouses

... Witold Abramowicz, Pawel Kalczynski and Krzysztof We^cel. Filtering the Web to[r] ...

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Automatic Data Filtering for In Situ Workflows

Automatic Data Filtering for In Situ Workflows

... the data fields from its ...more data than required by the ...each data field available for output and for a consumer the data fields needed as ...the data fields a producer has to send ...

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Data Visualization Via Collaborative Filtering

Data Visualization Via Collaborative Filtering

... 3.3 Enhancing the Basic Visual Predictor Users have in general different rating habits to express their opinions about items. For example, they may rate movies with different personal scales, that is, one rates between 1 ...

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Heart rate data digital filtering

Heart rate data digital filtering

... 31 ABSTRACT Title: Digital filtering of heart rate The aim of this final work was to display an ECG signal processing with digital filters. We compared which filter is the best for processing the ECG signal and ...

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