• Corpus ID: 212453123

A Study of Current State of Work and Challenges in Mining Big Data

@inproceedings{Pal2014ASO,
  title={A Study of Current State of Work and Challenges in Mining Big Data},
  author={Kaushika Pal},
  year={2014}
}
A Study of Current State of Work and Challenges in Mining Big Data Kaushika Pal Assistant Professor, Sarvajanik College of Engineering and Technology, Surat Email: kaushikapal@scet.ac.in Dr. Jatinderkumar R. Saini Associate Professor and Director I/C, Narmada College of Computer Application, Bharuch Email: saini_expert@yahoo.com -----------------------------------------------------------------ABSTRACT-----------------------------------------------------------------Big data is term for any… 
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5 Citations
Background Citations
2

5 Citations

Mining Big Data to Predicting Future
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This paper discusses secure management and privacy of big data as one of essential issues and defines some of these problems, using illustrations with applications from various areas.
Multi - Class Document Classification: Effective and Systematized Method to Categorize Documents
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This research work is combining approach of Natural Language Processing and Machine Learning for content-based classification of documents that is successful in classifying documents with more than 70% of accuracy for major Indian Languages and more than 80% accuracy for English Language.
Data Mining Applications in Big Data
TLDR
Methods in data mining and technologies in Big Data, a process of extracting hidden, unknown, but potentially useful information from massive data, are introduced.
Unveiling the features of successful eBay smartphone sellers
UNVEILING THE FEATURES OF SUCCESSFUL EBAY SELLERS OF SMARTPHONES – A DATA MINING SALES PREDICTIVE MODEL
TLDR
It was discovered that the number of items in auction, average price and the variety of products available from a given seller were the most significant attributes, i.e., the largest contributors for sales.

References

SHOWING 1-7 OF 7 REFERENCES
From Big Data to Big Data Mining: Challenges, Issues, and Opportunities
TLDR
This paper provides an overview of big data mining and discusses the related challenges and the new opportunities, including a review of state-of-the-art frameworks and platforms for processing and managing big data as well as the efforts expected onbig data mining.
Mining big data: current status, and forecast to the future
TLDR
This issue introduces four articles, written by influential scientists in the field, covering the most interesting and state-of-the-art topics on Big Data mining, and presents a broad overview of the topic, its current status, controversy, and a forecast to the future.
Mining Big Data in Real Time
TLDR
The current and future trends of mining evolving data streams, and the challenges that the field will have to overcome during the next years are discussed.
Mining heterogeneous information networks: a structural analysis approach
TLDR
A set of methodologies that can effectively and efficiently mine useful knowledge from such information networks are summarized, and some promising research directions are pointed out.
Data Mining with Big Data, IEEE TRANSACTIONS International Journal of Advanced Networking Applications (IJANA) ISSN No
  • ON KNOWLEDGE AND DATA ENGINEERING,
  • 2014
Understanding Big Data & DV 2 law
  • International Journal of Emerging Technology and Advanced Engineering
  • 2014
Understanding Big Data & DV2
  • law, International Journal of Emerging Technology and Advanced Engineering,
  • 2014