Data Pre-Processing
Review of Big Data Pre processing
... of data has been observed in recent years being a key factor of the Big Data ...Big Data can be defined as high volume, velocity and variety of data that require a new high- performance ...big ...
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Data Pre-processing in Spam Detection
... the data cleaning of the textual information is very critical and ...of data pre-processing in spam detection is to remove data which do not give useful information about the class of ...
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Real-Time Data Pre-processing Technique in Web Usage Mining
... applies data mining procedures to analyse user access of the web ...steps: Pre-processing, Knowledge Discovery & ...usage data to be analysed and its low quality are the principal problems ...
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The effect of data pre processing on optimized training of artificial neural networks
... Data pre-processing is an important step in the data mining ...Mostly, data gathering methods are lightly controlled, resulting in outliers, impossible data combinations, and ...
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Point Data Pre-Processing Based on Fuzzy Logic for Reverse Engineering Modelling
... State of the art 3D-digitization systems designed for reverse engineering (RE) modelling are characterized by increased scanning speed and also by the possibility to generate a large number of points in a short time. ...
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Syndromic surveillance using veterinary laboratory data : data pre-processing and algorithm performance evaluation
... generalization of the exponentially weighted moving averages calculation. Besides a smoothing constant to attribute weight to mean calculated values over time (level), additional smoothing constants are introduced to ...
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Parallel Implementation of Big Data Pre-Processing Algorithms for Sentiment Analysis of Social Networking Data
... text pre-processing setting for training the SVM (Support Vector Machine) is proposed ...the pre-processing phase. Other pre-processing techniques such as tokenization, N-gram ...
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Classification approach based Customer Prediction Analysis for Loan Preferences of Customers
... customer data and classify them based on the customer behaviours and ...The data pre-processing techniques like data cleaning and data reduction can be applied for data ...
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Improved J48 Classification Algorithm for the Prediction of Diabetes
... phases: data pre-processing in which the attributes are identified and second is diabetes prediction model constructed with the help of using the decision tree ...WEKA data mining ...medical ...
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Reorganisation of Adaptive Websites Using Web Usage Mining Techniques
... of data pre-processing, we will improve the mined patterns' quality and save algorithm's running ...the data in database or data ...to pre-process web log files in web usage ...
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Hand Gestures Recognition Based on One Channel Surface EMG Signal
... parts: data pre-processing, feature extraction and ...For data pre-processing, a Butterworth filter and a segmentation algorithm are used for getting a cleaner data and ...
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The classification of hill country vegetation from hyperspectral imagery
... hyperspectral data provides the possibility to categorise and quantify the farm landscape in great detail, supplementing local expert knowledge and adding confidence to ...various data ...
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A STUDY- KNOWLEDGE DISCOVERY APPROACHESAND ITS IMPACT WITH REFERENCE TOCOGNITIVE INTERNET OF THINGS (CIOT)
... rules. Data cleaning: The MERGE-PURGE system was applied to the identification of duplicate welfare claims (Hernandez and Stolfo ...on data from the Welfare Department of the State of ...specialized ...
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Bridge Crack Identification Based on Feature Fusion of Convolutional Neural Networks
... This paper chooses AlexNet and VGG11 as the network for feature extraction and feature fusion. Compared with other network models such as GoogleNet, ResNet, DensNet, etc., AlexNet and VGG11 have the advantages of simple ...
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Pre-processing of Mammogram Images
... Digital images are typically compressed to conserve space. These compressions can be either lossless or lossy. Lossless compression preserves the information in the original image exactly, while lossy compression stores ...
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Validation of a Datafication Canvas
... Given the rise of data analytics and big data, the ethical implications of the data become more important. The development of new frameworks for the understanding of these ethical concerns is ...
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The ALADIN System and its canonical model configurations AROME CY41T1 and ALARO CY40T1
... in data assimilation on the one hand, and in compute grids on the other hand, accompanied by disentangling and modulariza- tion, optimization and portability issues (including reliability on massively parallel ...
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A PSO-Based Modified Counterpropagation Neural Network Model for Online Handwritten Character Recognition
... special interest due to increased usage of the hand held devices and it has become a difficult problem because of the high variability and ambiguity in the character shapes written by individuals. One major problem ...
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Creating a complete workflow for digitising historical census documents : considerations and evaluation
... initial data preparation step was carried out, including: splitting multi-page documents into single-page image files, visual inspection, and conversion to TIFF ...
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EFFECTIVE CONTAIN BASED IMAGE RETRIEVAL METHOD USING COLOR, TEXTURE AND SHAPE FEATURES.
... In this paper feature extraction method based on low level features like color, texture and shape for CBIR is proposed. In which the feature are extracted effectively by using fuzzy histogram linking technique, texture ...
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