Proceedings of Symposium on Data Mining Applications 2014

01/29/2020
by   Basit Qureshi, et al.
3

The Symposium on Data Mining and Applications (SDMA 2014) is aimed to gather researchers and application developers from a wide range of data mining related areas such as statistics, computational intelligence, pattern recognition, databases, Big Data Mining and visualization. SDMA is organized by MEGDAM to advance the state of the art in data mining research field and its various real world applications. The symposium will provide opportunities for technical collaboration among data mining and machine learning researchers around the Saudi Arabia, GCC countries and Middle-East region. Acceptance will be based primarily on originality, significance and quality of contribution.

READ FULL TEXT

page 5

page 20

page 21

page 22

page 24

page 30

page 31

page 36

research
06/07/2012

Soil Data Analysis Using Classification Techniques and Soil Attribute Prediction

Agricultural research has been profited by technical advances such as au...
research
03/12/2018

Text Data Mining from the Author's Perspective: Whose Text, Whose Mining, and to Whose Benefit?

Given the many technical, social, and policy shifts in access to scholar...
research
03/07/2023

Toward NeuroDM: Where Computational Neuroscience Meets Data Mining

At the intersection of computational neuroscience (CN) and data mining (...
research
05/12/2017

Proof Mining with Dependent Types

Several approaches exist to data-mining big corpora of formal proofs. So...
research
07/14/2000

Integrating E-Commerce and Data Mining: Architecture and Challenges

We show that the e-commerce domain can provide all the right ingredients...
research
09/29/2017

Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case

In an effort to overcome the data deluge in computational biology and bi...
research
08/01/2022

Data Collection and Analysis of French Dialects

This paper discusses creating and analysing a new dataset for data minin...

Please sign up or login with your details

Forgot password? Click here to reset