Perspectives on Intelligent system techniques used in Data Mining

IJSRD - International Journal for Scientific Research & Development | Data Mining 2015 | ISSN (online): 2321-0613

Author(s):
Poonam Verma

Keywords:
Intelligent Systems, Neural Networks, Data Mining

Abstract:

With the uprising trend of the social media, for marketing purposes and for personal communication, the data mining techniques used in the early decade can no longer handle the data for pattern recognition .It becomes necessity that the data mining techniques become intelligent enough to deal with the volume and variety of the data being searched for recognizing patterns or trends. Thus in this article, I have explored the various neural networks and their techniques being implemented on data to find a particular trend. Various applications of such hybrid intelligent systems have been discussed. Perceptron and it's varieties have been long used for machine learning without the human intervention. Moreover their various features are inspired by the biological strategies endowed by nature on humans to recognize, learn and innovative ideas to solve their problems. Humans have various sensory organs to help them receive their inputs from the surroundings, however it is their brain that helps them to process the large data and get the required data as an output. Neural Networks are based on the Human brain and the nervous system. So we shall explore various intelligent systems of Neural Networks to help in data mining.

I. INTRODUCTION

The field of the Intelligent Systems has phenomenally increased in the range of techniques and the applications. Intelligent Systems includes a range of techniques that are capable of the data processing capabilities in the real life situations. These intelligent systems techniques are inspired by the biologically strategies that are used in this universe to handle the real life situations. Major categories of the intelligent systems are the Neural Networks, Fuzzy Logics, Genetic algorithms. In most of the data rich environment, these techniques help in optimizing search criteria of different factors. Such techniques are useful in today's scenario as the data has grown exponentially. To recognize pattern from this data using the earlier techniques might not result into optimal results. 

II. INTRODUCTION TO NEURAL NETWORKS

An artificial Neural Network is an information processing model that is basically inspired by the nervous systems of the most important organ of human body that is brain. It consists of a large number of highly interconnected processing system that work together to solve pattern recognition or data classification problems. Human Brain consists of neurons that collect signals from dendrites and sends it to the required neuron with the help of axon, only when the neuron is excited enough to surpass the restraint activity on it. view more 

WWW.IJSRD.COM

Special Issue For Image Processing

Best 25 papers will be published online.Participate in this special issue and get a chance to win the Best Paper Award for Image Processing. Also other authors will have special prizes to be won.

• Submit Special Issue Manuscript Online

• Last Date For Paper Submission of Special Issue : 25th August 2015

What is Image Processing?

Image processing is a method to convert an image into digital form and perform some operations on it, in order to get an enhanced image or to extract some useful information from it. It is a type of signal dispensation in which input is image, like video frame or photograph and output may be image or characteristics associated with that image. Usually Image Processingsystem includes treating images as two dimensional signals while applying already set signal processing methods to them. 
It is among rapidly growing technologies today, with its applications in various aspects of a business. Image Processing forms core research area within engineering and computer science disciplines too.Image processing usually refers to digital image processing, but optical and analog image processing also are possible.
Analog or visual techniques of image processing can be used for the hard copies like printouts and photographs. Image analysts use various fundamentals of interpretation while using these visual techniques. The image processing is not just confined to area that has to be studied but on knowledge of analyst. Association is another important tool in image processing through visual techniques. So analysts apply a combination of personal knowledge and collateral data to image processing.
Digital Processing techniques help in manipulation of the digital images by using computers. As raw data from imaging sensors from satellite platform contains deficiencies. To get over such flaws and to get originality of information, it has to undergo various phases of processing. The three general phases that all types of data have to undergo while using digital technique are Pre- processing, enhancement and display, information extraction.
If you have worked on any part of image processing prepare a research paper and submit to us

Image processing basically includes the following three steps.

• Importing the image with optical scanner or by digital photography.The acquisition of images (producing the input image in the first place) is referred to as imaging.
• Analyzing and manipulating the image which includes data compression and image enhancement and spotting patterns that are not to human eyes like satellite photographs.
• Output is the last stage in which result can be altered image or report that is based on image analysis.

Purpose of Image processing

The purpose of image processing is divided into various groups. They are:

• Visualization - Observe the objects that are not visible.
• Image sharpening and restoration - To create a better image.
• Image retrieval - Seek for the image of interest.
• Measurement of pattern – Measures various objects in an image.
• Image Recognition – Distinguish the objects in an image.

Applications of Image processing

Image processing has been an important stream of Research for various fields. Some of the application areas of Image processing are….

Intelligent Transportation Systems – E.g. Automatic Number Plate Recognition, Traffic Sign Recognition

Remote Sensing –E.g.Imaging of earth surfaces using multi Spectral Scanners/Cameras, Techniques to interpret captured images etc.

Object Tracking – E.g. Automated Guided Vehicles, Motion based Tracking, Object Recognition
 Defense surveillance – E.g. Analysis of Spatial Images, Object Distribution Pattern Analysis of Various wings of defense. Earth Imaging using UAV etc.

 Biomedical Imaging & Analysis – E.g. Various Imaging using X- ray, Ultrasound, computer aided tomography (CT) etc. Disease Prediction using acquired images, Digital mammograms.etc.

Automatic Visual Inspection System – E.g.Automatic inspection of incandescent lamp filaments, Automatic surface inspection systems,    Faulty component identification etc.

And many other applications…..

To contribute your research work in Image processing please prepare an article on it and submit to us. 

http://www.ijsrd.com/SpecialIssuehttp://www.ijsrd.com/SubmitManuscript