2012 15th International Multitopic Conference (INMIC)最新文献_第2页

Impact of social attributes on Predictive Analytics in telecommunication industry 社会属性对电信行业预测分析的影响

2012 15th International Multitopic Conference (INMIC) Pub Date : 2012-12-01 DOI: 10.1109/INMIC.2012.6511470

Osama Z. Hashmi, S. Sheikh

引用次数: 1

The role of artificial neural network in project performance of Higher Learning Institutions, Pakistan 人工神经网络在巴基斯坦高等院校项目绩效中的作用

2012 15th International Multitopic Conference (INMIC) Pub Date : 2012-12-01 DOI: 10.1109/INMIC.2012.6511455

M. S. Javed, A. Mahmood, S. Sulaiman

引用次数: 0

Crop classification using feature extraction from satellite imagery 基于卫星图像特征提取的作物分类

2012 15th International Multitopic Conference (INMIC) Pub Date : 2012-12-01 DOI: 10.1109/INMIC.2012.6511479

Asma Akhtar, Muhammad Nazir, S. Khan

引用次数: 5

Customer churn prediction for telecommunication: Employing various various features selection techniques and tree based ensemble classifiers 电信客户流失预测:采用各种特征选择技术和基于树的集成分类器

2012 15th International Multitopic Conference (INMIC) Pub Date : 2012-12-01 DOI: 10.1109/INMIC.2012.6511498

Adnan Idris, Asifullah Khan

{"title":"Customer churn prediction for telecommunication: Employing various various features selection techniques and tree based ensemble classifiers","authors":"Adnan Idris, Asifullah Khan","doi":"10.1109/INMIC.2012.6511498","DOIUrl":"https://doi.org/10.1109/INMIC.2012.6511498","url":null,"abstract":"Ensemble classifiers have received increasing attention for attaining the higher classification performance in recent times. In this paper, we present comparative performances of various tree based ensemble classifiers in collaboration with maximum relevancy and minimum redundancy (mRMR), Fisher's ratio and F-score based features selection schemes for a challenging problem of churn prediction in telecommunication. The large sized telecommunication dataset has been the main hurdle in achieving the desired classification performance in the contemporary proposed churn prediction models. Though, tree based ensemble classifiers are considered suitable for larger datasets, but we have found rotation forest and rotboost as effective techniques compared to random forest, which employ boosting through features selection and increased diversity by incorporating linear feature extraction method such as Principal Component Analysis. In addition to the features selection performed by used ensembles, we have also incorporated mRMR, Fisher's ratio and F-score techniques for features selection. mRMR returns a coherent and well discriminants feature set, compared to Fisher's ratio and F-score, which significantly reduces the computations and helps classifier in attaining improved performance. The performance evaluation is conducted using area under curve, sensitivity and specificity where Rotboost, an ensemble of rotation forest and Adaboost in collaboration with mRMR has shown competitive results for churn prediction in telecommunication as compared to other ensemble methods.","PeriodicalId":396084,"journal":{"name":"2012 15th International Multitopic Conference (INMIC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114983650","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: 18

Soft-metric based decoding for photon counting receivers 基于软度量的光子计数接收机译码

2012 15th International Multitopic Conference (INMIC) Pub Date : 2012-12-01 DOI: 10.1109/INMIC.2012.6511488

I. Bari, M. Delgado, M. Mondin, F. Daneshgaran

引用次数: 1

Policy-based network management in a machine-to-machine (M2M) network M2M (machine-to-machine)网络中的策略网络管理

2012 15th International Multitopic Conference (INMIC) Pub Date : 2012-12-01 DOI: 10.1109/INMIC.2012.6511473

M. Siddiqui, S. Ahmed

引用次数: 6

An analysis of Newton's method in wireless systems using Gabor frames 基于Gabor帧的无线系统牛顿方法分析

2012 15th International Multitopic Conference (INMIC) Pub Date : 2012-12-01 DOI: 10.1109/INMIC.2012.6511480

U. Masud, M. I. Baig

{"title":"An analysis of Newton's method in wireless systems using Gabor frames","authors":"U. Masud, M. I. Baig","doi":"10.1109/INMIC.2012.6511480","DOIUrl":"https://doi.org/10.1109/INMIC.2012.6511480","url":null,"abstract":"Gabor expansion technique with a one tap time frequency channel model has shown to be an effective realization method. The error introduced by a dispersive single tap time frequency channel model can be reduced by using optimized Gabor prototype frames. This problem can be formulated into a semi definite programming problem. From practical point of view, the situation becomes increasingly interesting under Wide-Sense Stationary Uncorrelated Scattering (WSSUS) channel conditions. This paper presents and analyzes the performance of Newton's method in optimization to find the solution. On account of its physical significance and impact, consideration has been given to the WSSUS conditions. The performance of the algorithm under UMTS suburban conditions reveals attention grabbing results, especially the reduced time for standard delay spreads is worth mentioning. The flexibility with generalized multicarrier schemes featuring augmented time bandwidth activity makes the model tempting in the context of cognitive radio environments. This has targeted numerous applications such as building a sensor network with a re-configurable receiver adapting to various wireless standards.","PeriodicalId":396084,"journal":{"name":"2012 15th International Multitopic Conference (INMIC)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128476082","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

Relay based cooperative spectrum sensing in cognitive radio networks over rayleigh fading channel with path loss effects 具有路径损耗效应的瑞利衰落信道认知无线电网络中继协同频谱感知

2012 15th International Multitopic Conference (INMIC) Pub Date : 2012-12-01 DOI: 10.1109/INMIC.2012.6511450

N. Zarin, S. Mahmud, I. Khan

引用次数: 12

Parameter optimization for non-local de-noising using Elite GA 基于精英遗传算法的非局部去噪参数优化

2012 15th International Multitopic Conference (INMIC) Pub Date : 2012-12-01 DOI: 10.1109/INMIC.2012.6511448

Aksam Iftikhar, Saima Rathore, A. Jalil

{"title":"Parameter optimization for non-local de-noising using Elite GA","authors":"Aksam Iftikhar, Saima Rathore, A. Jalil","doi":"10.1109/INMIC.2012.6511448","DOIUrl":"https://doi.org/10.1109/INMIC.2012.6511448","url":null,"abstract":"Non-local means de-noising is a simple but effective image restoration method. It exploits usual redundancy found in real-life images. It computes similarity between patches of pixels, in a non-local window, instead of pixels themselves. This similarity measure defines participation/weight of each pixel in the de-noising process. In this research study, non-local means de-noising has been applied to noisy synthetic and brain MR images by optimizing its parameters through Genetic Algorithm. Elite Genetic Algorithm, a novel idea, has also been proposed to optimize several parameters of the non-local framework. It works in a hierarchical structure i.e. K Primary GAs and one Secondary GA. Each Primary GA evolves with independent population and gives rise to nk elite chromosomes after t generations, which collectively serve as population of Secondary GA. Evolution with Elite GA results in improved speed of convergence as Secondary GA starts its evolution with more fit chromosomes instead of randomly generated population. These elite chromosomes are expected to be better solutions, thus have higher probability to approach global minima/maxima in no time. Algorithm has been tested on the said images and improved convergence rate has been observed for Elite GA. Moreover, the individuals selected by Elite GA are as fit as traditional GA as verified by PSNR and RMSE results.","PeriodicalId":396084,"journal":{"name":"2012 15th International Multitopic Conference (INMIC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124137842","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: 8

Detecting structural errors in BPMN process models 检测BPMN过程模型中的结构错误

2012 15th International Multitopic Conference (INMIC) Pub Date : 2012-12-01 DOI: 10.1109/INMIC.2012.6511490

O. Kherbouche, Adeel Ahmad, H. Basson

引用次数: 8