2014 International Conference on Data Mining and Intelligent Computing (ICDMIC)最新文献

Fuse sort algorithm a proposal of divide & conquer based sorting approach with O(nloglogn) time and linear space complexity 融合排序算法是一种分而治之的排序方法，具有0 (nloglog)的时间复杂度和线性空间复杂度

2014 International Conference on Data Mining and Intelligent Computing (ICDMIC) Pub Date : 2014-11-13 DOI: 10.1109/ICDMIC.2014.6954240

Yashwant Singh Patel, N. Singh, Lalit Kumar Vashishtha

引用次数: 1

Path planning for unmanned aerial vehicle based on genetic algorithm & artificial neural network in 3D 基于遗传算法和人工神经网络的无人机三维路径规划

2014 International Conference on Data Mining and Intelligent Computing (ICDMIC) Pub Date : 2014-11-13 DOI: 10.1109/ICDMIC.2014.6954257

S Aditya Gautam, N. Verma

{"title":"Path planning for unmanned aerial vehicle based on genetic algorithm & artificial neural network in 3D","authors":"S Aditya Gautam, N. Verma","doi":"10.1109/ICDMIC.2014.6954257","DOIUrl":"https://doi.org/10.1109/ICDMIC.2014.6954257","url":null,"abstract":"The planning of path for Unmanned Aerial Vehicle (UAV) is always considered to be a vital task. Path planning for UAV for avoiding the obstacle in its path can be accomplished by finding the solution for an optimization problem. Genetic Algorithm which is a global optimization tool can be of great use to solve the optimization problem for path planning of UAV. Artificial Neural Network (ANN) works well for function fitting quickly and can be used to approximate almost any function. The Genetic Algorithms are good at converging to the globally optimum solution generation by generation. Each generation is expected to be better than its previous generation. Neural Networks work faster than Genetic Algorithms for finding the solution to a given problem but may get converged to local optimum instead of global optimum. In this paper a new method for path planning for UAV to avoid obstacle coming in its path based on the combination of Genetic Algorithms and Artificial Neural Networks has been proposed in which the output generated from the Genetic Algorithms is used to train the network of Artificial Neural Networks. The model for path planning is based on 3D digital map.","PeriodicalId":138199,"journal":{"name":"2014 International Conference on Data Mining and Intelligent Computing (ICDMIC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116416375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 39

An effective way to achieve excellence in research based learning using association rules 一种利用关联规则实现研究型学习的有效方法

2014 International Conference on Data Mining and Intelligent Computing (ICDMIC) Pub Date : 2014-11-13 DOI: 10.1109/ICDMIC.2014.6954226

Tribikram Pradhan, S. R. Mishra, V. K. Jain

引用次数: 3

Iris recognition system for smart environments 用于智能环境的虹膜识别系统

2014 International Conference on Data Mining and Intelligent Computing (ICDMIC) Pub Date : 2014-11-13 DOI: 10.1109/ICDMIC.2014.6954247

K. Gupta, Rashmi Gupta

引用次数: 4

Classification and interpretation of characters in multi-application OCR system 多用途OCR系统中字符的分类与解释

2014 International Conference on Data Mining and Intelligent Computing (ICDMIC) Pub Date : 2014-11-13 DOI: 10.1109/ICDMIC.2014.6954231

Anubha Jain, Jaya Sharma

{"title":"Classification and interpretation of characters in multi-application OCR system","authors":"Anubha Jain, Jaya Sharma","doi":"10.1109/ICDMIC.2014.6954231","DOIUrl":"https://doi.org/10.1109/ICDMIC.2014.6954231","url":null,"abstract":"A great deal of computer vision research and study is dedicated to the systems designed to detect and analyze computer printed documents and human written text. Optical Character Recognition (OCR) refers to the process of converting images of hand-written, typewritten, or printed text into a format understood by machines for the purpose of editing, indexing/searching, and a reduction in storage size. In this paper we have combined the functionality of Optical Character Recognition and have focused on its applications like Image Sudoku Solver, Car License Plate Detection and Recognition, Handwritten and Computer Printed Documents Recognition. This paper develops a user friendly application for performing image to text conversion. The developed system is organized as a set of modules, each dedicated to a specific application. Car License Plate Detection and Recognition system extracts out the License plate accurately and produce an effective recognition of the characters in the License Plate. With the proposed methodology, we have been able to achieve results with 96% accuracy for the tested images. Image Sudoku Solver is intended to work with Sudoku Puzzle images by extracting out the numbers, boundaries from them and then solving the puzzle. In this we are able to extract, recognize and solve around 98% of Sudoku Puzzles being tested for the purpose. Online Handwriting Recognition accomplishes the real time recognition of user's Handwriting from a Mouse or a Laptop Touchpad.","PeriodicalId":138199,"journal":{"name":"2014 International Conference on Data Mining and Intelligent Computing (ICDMIC)","volume":"17 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130981452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Knowledge discovery of weighted RFM sequential patterns with multi time interval from customer sequence database 客户序列数据库中多时间间隔加权RFM序列模式的知识发现

2014 International Conference on Data Mining and Intelligent Computing (ICDMIC) Pub Date : 2014-11-13 DOI: 10.1109/ICDMIC.2014.6954250

Chandni Naik, A. Kharwar, Mukesh Patel

引用次数: 4

NER for Hindi language using association rules NER表示使用关联规则的印地语

2014 International Conference on Data Mining and Intelligent Computing (ICDMIC) Pub Date : 2014-11-13 DOI: 10.1109/ICDMIC.2014.6954253

Arti Jain, Divakar Yadav, Dev Tayal

引用次数: 12

Generalized fuzzy c-means with spatial information for clustering of remote sensing images 基于空间信息的广义模糊c均值遥感图像聚类

2014 International Conference on Data Mining and Intelligent Computing (ICDMIC) Pub Date : 2014-11-13 DOI: 10.1109/ICDMIC.2014.6954242

Prem Shankar Singh Aydav, S. Minz

引用次数: 4

NUYA: An encrypted mechanism for securing cloud data from data mining attacks NUYA:保护云数据免受数据挖掘攻击的加密机制

2014 International Conference on Data Mining and Intelligent Computing (ICDMIC) Pub Date : 2014-11-13 DOI: 10.1109/ICDMIC.2014.6954254

N. Singh, Yashwant Singh Patel, Utpalendu Das, Ananya Chatterjee

{"title":"NUYA: An encrypted mechanism for securing cloud data from data mining attacks","authors":"N. Singh, Yashwant Singh Patel, Utpalendu Das, Ananya Chatterjee","doi":"10.1109/ICDMIC.2014.6954254","DOIUrl":"https://doi.org/10.1109/ICDMIC.2014.6954254","url":null,"abstract":"Cloud Computing is a vast infrastructural and rising pool, which provides huge storage of data in one sphere. Organizations, now a days are in the marathon of equipping the whole system in a cloud form. The attackers evaluating data for a long time to extract the valued information to perform data mining based attacks on the cloud. In the recent architectures the data is sited in a single or distributed cloud provider. It gives the opportunity to the cloud providers and attackers to unauthorized access from cloud and also gives the chance to analyze the client data for a long time to extract the sensitive information, which is responsible for the privacy violation of clients. This paper proposes an approach that firstly maintains the confidentiality, integrity, and authentication for the stored data in cloud. Secondly, it presents distributed storage cloud architecture, which includes the description of trusted computing work group (TCG) and trusted platform module (TPM). It provides hardware authentication for trustworthy computing platform and also uses Kerberos authentication to avoid software attacks. This proposed approach establishes file locality by clustering the related data based on their physical distance and effective matching with client applications. It supports efficient clustering and reduces communication cost in large-scale cloud computing applications.","PeriodicalId":138199,"journal":{"name":"2014 International Conference on Data Mining and Intelligent Computing (ICDMIC)","volume":"282 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116083428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Systemic Lupus Erythematosus manifestation using ID3 algorithm - A clinical analysis 系统性红斑狼疮的ID3算法临床分析

2014 International Conference on Data Mining and Intelligent Computing (ICDMIC) Pub Date : 2014-11-13 DOI: 10.1109/ICDMIC.2014.6954265

S. Gomathi, V. Narayani

引用次数: 2