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Coding and analysis of unstructured interview data

Structuring the unstructured data: the use of content analysis

Structuring the unstructured data: the use of content analysis

... “unstructureddata; challenging the researchers to structure ...content analysis guided the researchers first to breakdown the textual data into meaningful ...the data into analysable ...

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Unstructured Data Analysis on Big Data Using Map Reduce

Unstructured Data Analysis on Big Data Using Map Reduce

... Mahout and maven are the software tools used in the implementation of the collaborative filtering algorithm. Mahout is distributed under a commercially friendly Apache Software license. Mahout is easily scalable for ...

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Regulating highly dynamic unstructured proteins and their coding mRNAs

Regulating highly dynamic unstructured proteins and their coding mRNAs

... The mRNA nucleotide sequence provides the codons specifying the amino acid sequence of the encoded protein; thus, the two sequences are not independent of each other. So, even though the degeneracy of the genetic code ...

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JAVA Coding Interview Questions and Answers

JAVA Coding Interview Questions and Answers

... 16.1 Analysis The key to solve this problem is moving element of A and B backwards. If B has some elements left after A is done, also need to handle that case. The takeaway message from this problem is that the ...

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Computerized coding of injury narrative data from the National Health Interview Survey

Computerized coding of injury narrative data from the National Health Interview Survey

... three-digit analysis it may be useful to determine if the program performs better by first “learning” the general cat- egory before “learning” the three-digit ...

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Textual Analysis of Unstructured Medical Data

Textual Analysis of Unstructured Medical Data

... Textual analysis helps researchers to gather information which depends up on how humans feel the ...textual analysis for those analyst who need to know the methods in which supporter of diverse cultures and ...

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Big Data Analytics. Analysis of high-volume and unstructured Data

Big Data Analytics. Analysis of high-volume and unstructured Data

... Fuzzy Matching with Dictionary Tagger • Matching of Subject- Dictionaries Sentiment Classification Text Vectorization • Creation of text predictors to predict sentiments Machi[r] ...

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A novel feature selection technique for unstructured data analysis

A novel feature selection technique for unstructured data analysis

... of data mining, a technique of analyzing data to detect ...from data collected from people's activities on social ...media data; it discusses theories and methodologies from different ...

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Intricacies of Unstructured Data

Intricacies of Unstructured Data

... big data will last for many more years to ...and data from all genres has to be accommodated. Data from mobile devices will be the major contributor for ...time data analytics will gain more ...

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RUBA: Real-time Unstructured Big Data Analysis Framework

RUBA: Real-time Unstructured Big Data Analysis Framework

... massive data which has various types is being on the increase ...big data have important information about trends of many phenomenon, it will be a more significant study to analyze the big ...real-time ...

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Prediction and Analysis of Unstructured Text Data for Efficient Decision Making

Prediction and Analysis of Unstructured Text Data for Efficient Decision Making

... provided data. Our research is over Prediction and Analysis of Unstructured text data for efficient decision ...the unstructured text which must be divided into meaningful group of ...

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Comparison of Structured vs. Unstructured Data for Industrial Quality Analysis

Comparison of Structured vs. Unstructured Data for Industrial Quality Analysis

... 4.1 Methods using structured information For every repair action taken, a so called repair order will be created. It contains free text fields like the customer’s complaint, the cause of the problem and the corrective ...

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Analysis of Unstructured Data: Applications of Text Analytics and Sentiment Mining

Analysis of Unstructured Data: Applications of Text Analytics and Sentiment Mining

... ignore unstructured data is paramount in today’s fierce competitive ...survey, unstructured data takes a lion’s share in digital space and approximately occupies 80% by volume compared to only ...

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A Study on the Techniques of Sentiment Analysis for Unstructured Data using Big Data Analytics

A Study on the Techniques of Sentiment Analysis for Unstructured Data using Big Data Analytics

... time unstructured data often refers to the information that doesn’t follow the conventional storage of information in a row-column ...structured data it does not fit into relational ...into ...

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Enterprise Data Analysis and Visualization: An Interview Study

Enterprise Data Analysis and Visualization: An Interview Study

... Enterprise Data Analysis and Visualization: An Interview Study Sean Kandel, Andreas Paepcke, Joseph ...on data analysts to model customer engagement, streamline operations, improve production, ...

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Structuring unstructured big data

Structuring unstructured big data

... of data i day. This data can be accumulated from va transactions from a large stock exchange cap TB of data every day, data transmitted billion smart phones, more than 48 hour minute from ...

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Keywords: Big Data definition, Data mining, YouTube data analysis, Hadoop, HDFS, MapReduce, unstructured dataset analysis.

Keywords: Big Data definition, Data mining, YouTube data analysis, Hadoop, HDFS, MapReduce, unstructured dataset analysis.

... Big Data definition, Data mining, YouTube data analysis, Hadoop, HDFS, MapReduce, unstructured dataset ...INTRODUCTION Analysis of structured dataset has demonstrated tremendous ...

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Unsupervised Anomaly Detection in Unstructured Log-Data for Root-Cause-Analysis

Unsupervised Anomaly Detection in Unstructured Log-Data for Root-Cause-Analysis

... Unlike supervised learning, unsupervised learning aims at nding the underlying structure, i.e. the relationships between points in the dataset in the absence of labels. Hence, these type of algorithms do not have any ...

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Treelets A Tool for Dimensionality Reduction and Multi-Scale Analysis of Unstructured Data

Treelets A Tool for Dimensionality Reduction and Multi-Scale Analysis of Unstructured Data

... (noiseless) data as a function of its ...the analysis of unstructured ...the analysis of high-dimensional, unstructured and noisy data, as it typically appears in many modern ...

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Improve Model Accuracy with Unstructured Data

Improve Model Accuracy with Unstructured Data

... automated data preparation and auto modeling, make it easy to prepare data for analysis, find the best model based on hidden patterns in the data and quickly produce consistent and accurate ...

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