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Design and Implementation of Content Based Image Retrieval Using Data Mining and ImageProcessing Techniques
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Abstract: Now a days people are interested in using digital images. There is a great need for developing an efficient technique for finding the images. In order to find an image, image has to be represented with certain features. Color, texture and size are three important

Applying image mining to the analysis of rock structure images
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Obtaining, storing and sharing geological digital data in a form of images have been influenced by the dynamic development of information technology. Due to the fact that the multimedia data is not connected with a give PC or storage medium any more, but it is

Improved Algorithm Based on Item Code and Rough Intensive Reduction Algorithm in the Application of Disease of Vegetable Leaf Image Mining
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Design and development of automatic appendicitis detection system using sonographicimage mining
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Abstract:The acute appendicitis necessitates emergency abdominal surgery and in the past decade, sonography has gained acceptance for examining patients with acute abdominal pain. Sonographic imaging is dynamic, noninvasive, rapid, inexpensive, and

Image Mining and Clustering Based Image Segmentation
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Abstract: Image plays vital role in every aspect of business such as business images, satellite images, medical images and so on. If we analysis these data, which can reveal useful information to the human users. Image retrieval is the fast growing and challenging

A Comparative Study of Data Mining Algorithms for Image Classification
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Abstract Data mining is an important research area in computer science. It is a computational process of determining patterns in large data. Image mining is one of important techniques in data mining, which involved in multiple disciplines. Image

Dataset Fingerprints: Exploring Image Collections Through Data Mining
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Abstract As the amount of visual data increases, so does the need for summarization tools that can be used to explore large image collections and to quickly get familiar with their content. In this paper, we propose dataset fingerprints, a new and powerful method based

Data Mining Approach for Image Retrieval in Multimodal Fusion Using Frequent Pattern Tree
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Abstract: In this project utilizes the fusion of the images (textual and visual) for retrieving images. It combines two different data mining techniques to retrieve semantically related images: clustering and Frequent Pattern Tree Based Algorithm. In the offline phase, the

Road Detection from Satellite Images Using Image Mining
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Abstract:-Roads are the most important part of transportation system. This importance led to many tries to extract road from satellite images and image mining. In this paper, we tried to extract roads in a dense urban area by using of image mining methods. Due to spectral

A Novel System to Monitor Illegal Sand Mining using Contour Mapping and Color basedImage Segmentation
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Abstract Developing nations face the issue of illegal and excessive land mining which has adverse effects on the environment. A robust and cost effective system is presented in this paper to monitor the mining process. This system includes a novel vehicle detection

THE IDENTIFICATION OF PILL USING FEATURE EXTRACTION IN IMAGE MINING.
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Abstract With the help of image mining techniques, an automatic pill identification system was investigated in this study for matching the images of the pills based on its several features like imprint, color, size and shape. Image mining is an inter-disciplinary task

Data Mining With Big Data Image De-Duplication In Social Networking Websites
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ABSTRACT Big data is the term for a collection of data sets which are large and complex. Data comes from everywhere, sensor used to gather climate information, posts to social media sites and video. This data is known as Big data. useful data can be extracted from

Image Classification using Hybrid Data Mining Algorithms–A Review
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Abstract:Data mining is one of the most significant research area in computer science. It is a calculation process of finding and determining valuable information from huge data set. Image classification is an important technique to generate valuable information. The

A Survey on Low Level Feature Identification of Satellite Images and Knowledge Discovery from Identified Features using Image Mining
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Abstract:Image mining is a used to mining the images for the extraction of knowledge. Different types of satellite images contain earlier prediction of forecasting weather their important information. Several works has been done on Satellite image mining, databases

IMAGE MINING BASED ON EVOLUTIONARY COMPUTING
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Abstract: In today's era, neural networks and genetic algorithms are very challenging methods of solving image mining problems. The use of neural networks in image classification has been explored in a various of application. The efficiency of a genetic

A Technical Study on Biomedical image Classification using Mining Algorithms
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In which the improvements in medical image technology have greatly increased for image studies. This paper proposes study on some predominant data mining algorithms for image classification. Decision tree, genetic algorithm and k-means algorithms are taken for this

Image Mining with CBIR
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Abstract:Analyzing this huge amount of multimedia data to discover useful knowledge is a challenging task. It has opened up opportunities for research in Multimedia Data Mining (MDM). Multimedia Data Mining can be defined as the process of finding interesting

Precise Proficient Image Mining Using Hierarchical K-Means Algorithm
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Abstract-Increasing use of World Wide Web and communication channels like mobile networking has increased the number of images used throughout the world. Continuing advancements in both hardware and software coupled with higher image processing and

Overviewof Data Mining Techniques and Image Segmentation
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Abstract-Today data mining has become a vital role in all fields. This is because they discover interesting patterns and relationship in a data repository. Data mining is suitable for various fields such as image processing, artificial intelligence, machine learning, statistics

MINING IMAGE DATASETS
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ABSTRACT Mining Image dataset is one of the necessary features in the present development. The image datasets are used to store and retrieve the precious information from images, data mining on them. Pixel-wised image features were extracted and

Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes
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Imagemining techniques that are capable of extracting useful information from image data are becoming increasingly useful, especially in medicine and the health sciences. Biomedical Image Analysis and Mining Techniques for Improved Healt

Image Enhancement Techniques in Spatial Domain with Visual Data Mining
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Abstract: Most Image enhancement System deployed in real world applications are unimodal. ie, they rely on the evidence of a single source of information. These limitations are addressed by multimodal image verification system as explained in this proposition.

An Associate Rules Mining Algorithm Based on Artificial Immune Network for SAR ImageSegmentation
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Abstract: As a computational intelligence method, artificial immune network algorithm (AIN) has been widely applied to pattern recognition and data classification. Among the existing artificial immune network algorithms, their calculating affinity for classifying is based on

Special Issue Guest Editorial A Shift to Image Feature Mining
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These complementary questions have motivated recent movement in our two communities one composed of signal processors and the other art experts to collaborate and to try to focus the technologies of signal processing on underresolved problems of art

Data Mining and Predictive Analytics-Assignment 1 Image Popularity Prediction on Social Networks
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Posts on social networks usually have various contents, including image, text, and metadata (such as user information). An example post from Chiclopia website is shown in Figure 1. Using these information, our goal is to predict an image's popularity. For this purpose, we

Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database
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Abstract Despite tremendous progress in computer vision, effective learning on very large- scale ( 100K patients) medical image databases has been vastly hindered. We present an interleaved text/image deep learning system to extract and mine the semantic interactions

Weakly Image Label Extraction using Data Mining Techniques
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Abstract: We mine weakly labeled facial images which are freely accessible on the World Wide Web to investigate a framework of search-based face annotation. There is one major problem for SBFA scheme is how to efficiently implement annotation by exploiting the list

Discovering Knowledge through Multi-modal Association Rule Mining for Document ImageAnalysis
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Abstract. The paper introduces a descriptive data mining method to discover knowledge for the task of automatic categorization in document image analysis. We argue that a document image is a multi-modal unit of analysis whose semantics is deduced from a combination of

Query Mining for Image Retrieval System Using Markov Chain Model
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Abstract:In the routines of many users, they need to interact with applications that deal with information retrieval process. These applications always deal with the documents in the database. There is a software which interacts and responds with the top 'n'documents from

An Efficient and Effective Similarity Measure to Enable Data Mining of Fabric Image of Xinjiang Folk Art
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Abstract Fabric pattern is a folk art of artificial fabrics pattern design which includes apparels (known as clothes and hats), and crafts (known as carpets and tapestries). Although image processing, information retrieval and data mining have made a large impact on many

JOURNAL OF ENGINEERING SCIENCES RESEARCH TECHNOLOGY A REVIEW OF COLORMINING AND IMAGE PROCESSING FIELD IN COLOR
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ABSTRACT We are analyzed of different-2 colour mining technique for colour classification in this paper. Too many methods are used in colour classification like that histogram, PCA, LDA, ICA, KNN, K-means etc. All of methods either belongs to image processing or mining

image mining clustering



Image clustering and retrieval using image mining techniques
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Abstract: Image retrieval is the basic requirement task in the present scenario. Content Batarget image to be retrieved based on the useful features of the given image. In other end, image mining is

A Review: Content Base Image Mining Technique for Image Retrieval Using HybridClustering
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ABSTRACT: Valuable information can be hidden in images. The need for image mining is high in view of the fast growing amounts of image data. Image mining deals with the extraction of image patterns from a large collection of images in database. Clearly, image

Image Retrieval Based on Clustering and Non-Clustering Techniques using Image Mining
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Abstract Image Mining is the recent research area focused by every research scholars and which is the growing technology in the field of Data Mining. Image Processing will deal with only the features of single image, where as Image mining will be the classification of

Image Retrieval Based on Clustering and Non-Clustering Techniques using Image Mining
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Abstract Image Mining is the recent research area focused by every research scholars and which is the growing technology in the field of Data Mining. Image Processing will deal with only the features of single image, where as Image mining will be the classification of

Image Mining and Clustering Based Image Segmentation
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Abstract: Image plays vital role in every aspect of business such as business images, satellite images, medical images and so on. If we analysis these data, which can reveal useful information to the human users. Image retrieval is the fast growing and challenging


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