Wednesday, September 23, 2015

National Conference on "Student-driven Research for Inspired Learning" in Science and Technology : NCIL 2015 : Publication Partner

NCIL - 2015
National Conference on "Student-driven Research for Inspired Learning" in Science and Technology
Organised by ESRC and Dept of Electronics
Publication Partner International Journal for scientific research & Development (IJSRD)
Date: 16-17 October 2015

Saturday, September 5, 2015


Dear Researchers/Authors,

IJSRD is promoting a new field of this Digital Generation-“Data Mining”. 

In accordance to it IJSRD is inviting research Papers from you on subject of Data Mining. This is under special Issue Publication by IJSRD. In addition to this authors will have a chance to win the Best Paper Award under this category.

To submit your research paper on Data Mining Click here


What is Data Mining..?

Data mining (the analysis step of the "Knowledge Discovery in Databases" process. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use.

The actual data mining task is the automatic or semi-automatic analysis of large quantities of data to extract previously unknown, interesting patterns such as groups of data records, unusual records and dependencies.The Knowledge Discovery in Databases (KDD) process is commonly defined with the stages:

(1) Selection
(2) Pre-processing
(3) Transformation
(4) Data Mining
(5) Interpretation/Evaluation.

To know more…….

Data mining involves six common classes of tasks:

Anomaly detection (Outlier/change/deviation detection) – The identification of unusual data records, that might be interesting or data errors that require further investigation.

Association rule learning (Dependency modelling) – Searches for relationships between variables. For example, a supermarket might gather data on customer purchasing habits. Using association rule learning, the supermarket can determine which products are frequently bought together and use this information for marketing purposes. This is sometimes referred to as market basket analysis.

Clustering – is the task of discovering groups and structures in the data that are in some way or another "similar", without using known structures in the data.

Classification – is the task of generalizing known structure to apply to new data. For example, an e-mail program might attempt to classify an e-mail as "legitimate" or as "spam".

Regression – attempts to find a function which models the data with the least error.

Summarization – providing a more compact representation of the data set, including visualization and report generation.

Application Areas….


            They are used to store human strategies into databases and based on that new tactics are designed by Computer ( in association with Machine Learning, Artificial Intelligence)


            Businesses employing data mining may see a return on investment. In situations where a large number of models need to be maintained, some businesses turn to more automated data mining methodologies.In business, data mining is the analysis of historical business activities, stored as static data in data warehouse databases. The goal is to reveal hidden patterns and trends. Data mining software uses advanced pattern recognition algorithms to sift through large amounts of data to assist in discovering previously unknown strategic business information. Examples of what businesses use data mining for include performing market analysis to identify new product bundles, finding the root cause of manufacturing problems, to prevent customer attrition and acquire new customers, cross-selling to existing customers, and profiling customers with more accuracy.

Science and engineering

            In recent years, data mining has been used widely in the areas of science and engineering, such as bioinformatics, genetics, medicine, education and electrical power engineering.

Human rights

            Data mining of government records – especially records of the justice system (i.e., courts, prisons) – empowers the revelation of systemic human rights infringement in association with era and publication of invalid or deceitful lawful records by different government organizations

Medical data mining

            Some machine learning algorithms can be applied in medical field as second-opinion diagnostic tools and as tools for the knowledge extraction phase in the process of knowledge discovery in databases.

Spatial data mining

            Spatial data mining is the application of data mining methods to spatial data. The end objective of spatial data mining is to find patterns in data with respect to geography. So far, data mining and Geographic Information Systems (GIS) have existed as two separate technologies, each with its own methods, traditions, and approaches to visualization and data analysis. Data mining offers great potential benefits for GIS-based applied decision-making.

Temporal data mining

            Data may contain attributes generated and recorded at different times. In this case finding meaningful relationships in the data may require considering the temporal order of the attributes.

Sensor data mining

            By measuring the spatial correlation between data sampled by different sensors, a wide class of specialized algorithms can be developed to develop more efficient spatial data mining algorithms.

Visual data mining

            During the time spent transforming from analogical into computerized, vast datasets have been created, gathered, and stored finding measurable patterns, trends and information which is covered up in real data, with a specific end goal to manufacture prescient formations(patterns).

Friday, September 4, 2015

Now, a dedicated lifetime online space for science research scholars to share their work globally #ijsrd

IJSRD is an India's leading open access e-journal for all kinds of science, engineering & technologies manuscript. We publish original and high quality papers.

International Journal for Scientific Research & Development (IJSRD) is one of the leading e-journals which offers new ideas of current trends in Engineering and Science through published research papers with authentic data and pure knowledge. This online journal in the internet space is made available for all interested research scholars who look forward to showcase and share their work with their peer groups and others working in the same space across the globe.

At IJSRD, an exhaustive list of executive board members is available who were invited from a wide range of colleges, universities and research organizations to supervise the content. This online journal has proven to be extremely helpful for scholars and research students who call for research papers in their undergraduate, post graduate and higher levels of education. The original and supreme quality research papers that are uploaded and submitted in IJSRD are aimed at providing an outstanding all-round development to the students and research scholars in the field of Engineering and Technologies.

IJSRD is a monthly journal, publishes one issue per month. The precise and analytical narration of knowledge given by the reviewers in the journals make them more credible. IJSRD, touted as one of the premium online destinations for Journal of Science, has received about 19,255 papers and has about 27063 authors. The total number of accepted papers is 6473 till date.

IJSRD is easy to use and an open access peer reviewed International Journal wherein the research scholars are given the opportunity of downloading any relevant article or research paper from the website free of cost. These scholars are also allowed to submit their research papers online and generate an e-certificate online at any given point of time. One of the major highlights is that of referring to the statistics for each of the authored articles and papers and checking the status of the paper submitted online. 

For further details call us on +918866191212 or IJSRD can be contacted at

For more information, visit: