[PDF] Top 20 Data value storage for compressed semi-structured data
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Data value storage for compressed semi-structured data
... of data representations to be considered. While semi-structured data is a common exchange format, its verbose nature makes files of this type too large to be transferred quickly, espe- cially ... See full document
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BIG DATA ANALYSIS IN DATA MINING APPLICATIONS USING HADOOP
... of data and the size of the databases used in today’s enterprises has been growing at exponential ...rates. Data is generated through many sources like business processes, transactions, social networking ... See full document
11
A SURVEY ON BIG DATA ISSUES
... Any data that can challenge the current technology in some way can consider as big ...is data whose scale, variety, and complexity require new architecture, algorithms, techniques and analytics to manage it ... See full document
6
Performance Evaluation of Redis and MongoDB Databases for Handling Semi structured Data
... store data in columns, data tables where each column can store data separately and indexed in ...a value, and ...this data model is very scalable and support clustering for spreading ... See full document
6
Extracting the Attributes of Entities from Semi Structured Information Using XSearch
... and storage technologies has led to a huge amount of electronic data such as web pages and XML data has been available on intra and ...today’s data is composed of unstructured or semi ... See full document
8
Analysis and Implementation of Text Mining for Different Documents
... The process of making structured data from unstructured and semi structured text is called text mining. Text mining is defined as bag of words. The environment is set up with various documents ... See full document
5
Collectively Representing Semi Structured Data from the Web
... Our hypothesis is that these embeddings will clus- ter similar entities together. E.g. Figure 3 shows a one dimensional PIC embedding of entities be- longing to the two classes “city” and “celebrity”. The value of ... See full document
6
Collaborative Filtering Algorithm Based on Weighted Synthesis Method of Eigenvalues Factors
... structure, semi-structured and unstructured data record, construct user-project characteristic factor weighting model, calculate the weight and value of user-project core characteristic ... See full document
12
A Comparison between Characteristics of NoSQL Databases and Traditional Databases
... document storage. The formats used are XML, JSON, BSON, and others. Data is semi-structured and contains pairs of attribute ...name-value. Data is accessed by searching both on ... See full document
5
Abstract In this era data are continuously acquired for a variety of purposes. Data are generated
... of data. These include a long list of data such as documents, emails, social media text messages, video, still images, audio, graphs, and the output from all types of machine-generated data from ... See full document
6
Is Big Data for everyone? The challenges of Big Data adoption in SMEs
... Big data is a term using to describe these massive data sets which have more variety and complex structure including semi-structured and unstructured data such as posts on social media ... See full document
5
Supervised Models for Measuring Performance At E Learning Environmen
... E-learning data becomes ‘Big’ data as it describes a huge volume of both structured and unstructured ...meaningful. Data modeling is also recommended to design data views at various ... See full document
6
Comparison of Performance in Text Mining Using Text Categorization of Semi Structured Data
... probability value. According to probability value each term set or pattern are identified from text ...probability value sort the positive and negative probability value and select the ... See full document
9
An Analysis and Implication of Data Mining Techniques using Semi structured Data towards clinical data sets
... optimum value for K is best done by first reviewing the ...K value is more accurate as it decreases the whole noise but there is no ...K value by using an independent dataset to validate the K ... See full document
6
An analysis and Implication of Data Mining Techniques using Semi structured Data towards clinical data sets
... optimum value for K is best done by first reviewing the ...K value is more accurate as it decreases the whole noise but there is no ...K value by using an independent dataset to validate the K ... See full document
6
Fusion Architecture of Database for Large and Diverse Dataset
... the data model used for a standard storage system is a relational data ...store data. Recent advancements in the nature and behavior of data in terms of volume, velocity and variety ... See full document
10
Enabling Query-driven Analytics via Extreme Scale In-situ Processing.
... consume storage that is 3 − 4 times the size of the raw data ...Scientific data, which is typically read (or append) only, are better served with bitmap based indexing techniques [36] that provide ... See full document
114
Title: EXTRACT AND ANALYSIS OF SEMI STRUCTURED DATA FROM WEBSITES AND DOCUMENTS
... as Semi structured Databases and extraction and analysis of web content and documents is a time consuming and complex ...of semi structured web data and digital document data ... See full document
5
Title: Patent Trend Analysis and Future Prediction
... the value of the patent search system are: (a) Coverage: which databases are included, from which domains, countries, or organizations and how this system is ... See full document
6
Heterogeneous Database Integration Using XML
... combining data that is residing in different sources and providing users with a unified view of these ...of data definition by using a common conceptual schema across a collection of data ... See full document
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