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Monday, November 9, 2015

#ijsrd #sal NATIONAL CONFERENCE ON ICT Transforming ICT to IoT


NATIONAL CONFERENCE ON ICT

Transforming ICT to IoT


In association with


IJSRD – International Journal for Scientific Research & Development

SAL Institute of Technology & Engineering Research, affiliated to the Gujarat Technological University, Ahmedabad., is organizing 1-day event named National Conference on ICT”  on 20th January 2016 in association with IJSRD.
The conference aims to provide an opportunity to teachers/mentors/ educators and students to acknowledge, celebrate and showcase research being carried out by students by enabling them to engage with the wider communities to exchange ideas and share intellectual activity through paper presentations sessions. The event shall feature research papers presentations by eminent educators and students from all over India in the field of ICT (Information and Communication Technologies) & IoT (Internet of Things). 
Researchers working on IoT and ICT can submit their papers under following themes of conference.
  1. Pedagogy for effective use of ICT in Engineering Education.
  2. IoT for everyday life.
  3. IoT for smart house.
Chief Patron
Er. Shri Rajendra Shah
Patron
Dr. Rupesh P. Vasani
Ms. Neelima Shah
Ms. Pooja Shah
Convener
Dr. S. G. Desai
 Coordinators
 Technical Committee
Prof. Vijay Gadhavi (SALITER)
Prof. Dushyant Rathod (SCE)
Prof. Mayank Parekh (SCE)
Prof. Tejas Mehta (SETI)
Prof. Nidhi Barot
Prof. Pooja Mehta
Prof. Archana Patel
Prof. Ankita Gandhi

ORGANISED BY

SAL Institute of Technology & Engineering Research
Opp, Science city, Sola Bhadaj Road,
Ahmedabad, Gujarat 380060
Website : www.sal.edu.in


PUBLICATION PARTNER

IJSRDInternational Journal  for Scientific Research & Development
Website: ijsrd.com

Saturday, October 10, 2015

International Journal : Call For Paper #ijsrd

https://in.linkedin.com/in/ijsrd

ijsrd.com is a leading indian journal, under which we are encouraging and exploring newer ideas of current trends in Engineering and Science by publishing papers containing pure knowledge. The Journal is started with noble effort to help the researchers in their work and also to share knowledge and research ideas. All research interested scholars are given best opportunity to make world aware of their work. With precise and analytical narration of knowledge by our reviewers, our journal is providing implemental economy and latest global transposition to research. This monthly journal is mainly started to help researching peers belongs to Undergraduate, Postgraduate and Research students.We publish original and high quality papers. We aim to cover the latest outstanding development in the fields of Engineering and Technologies. All the published papers are submitted to the major indexing services for indexing.

Wednesday, September 23, 2015

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

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

Monday, September 21, 2015

#IJSRD FOUND USEFUL INFORMATION FOR DATA MINING (WWW.IJSRD.COM)

Nine Laws of Data Mining

Data mining is the creation of new knowledge in natural or artificial form, by using business knowledge to discover and interpret patterns in data.
In its current form, data mining as a field of practise came into existence in the 1990s, aided by the emergence of data mining algorithms packaged within workbenches so as to be suitable for business analysts.  Perhaps because of its origins in practice rather than in theory, relatively little attention has been paid to understanding the nature of the data mining process.  The development of the CRISP-DM(#ijsrd) methodology in the late 1990s was a substantial step towards a standardised description of the process that had already been found successful and was (and is) followed by most practising data miners.
 Although CRISP-DM(#ijsrd) describes how data mining is performed, it does not explain what data mining is or why the process has the properties that it does.  In this paper I propose nine maxims or “laws” of data mining (most of which are well-known to practitioners), together with explanations where known.  This provides the start of a theory to explain (and not merely describe) the data mining process.
 It is not my purpose to criticise CRISP-DM(#ijsrd); many of the concepts introduced by CRISP-DM(#ijsrd) are crucial to the understanding of data mining outlined here, and I also depend on CRISP-DM’s(#ijsrd) common terminology.  This is merely the next step in the process that started with CRISP-DM(#ijsrd).
1st Law of Data Mining – “Business Goals Law”:
Business objectives are the origin of every data mining solution
2nd Law of Data Mining – “Business Knowledge Law”:
Business knowledge is central to every step of the data mining process
3rd Law of Data Mining – “Data Preparation Law”:
Data preparation is more than half of every data mining process
4th Law of Data Mining – “NFL-DM”:
The right model for a given application can only be discovered by experiment or“There is No Free Lunch for the Data Miner”
5th Law of Data Mining – “Watkins’ Law”:
There are always patterns
6th Law of Data Mining – “Insight Law”:
Data mining amplifies perception in the business domain
7th Law of Data Mining – “Prediction Law”: 
Prediction increases information locally by generalization
8th Law of Data Mining – “Value Law”:
The value of data mining results is not determined by the accuracy or stability of predictive models
9th Law of Data Mining – “Law of Change”:
All patterns are subject to change
For more such useful information about data mining and other latest research topics please visit www.ijsrd.com

Saturday, September 5, 2015

CALL FOR PAPER : DATA MINING IJSRD

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


 IJSRD

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….


Games

            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)

Business

            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 info@ijsrd.com.

For more information, visit: http://www.ijsrd.com