Journal of Innovative Computing and Emerging Technologies最新文献

Personality Analysis by Tweet Mining 推特挖掘的个性分析

Journal of Innovative Computing and Emerging Technologies Pub Date : 2023-03-02 DOI: 10.56536/jicet.v3i1.60

Hirra Mustafa, Tuba Mansoor, S. Yaqoob, Shahid Mehmood, Md. Mijanur Rahman

引用次数: 0

COVID-19 Detection using Curvelet Transformation and Support Vector Machine 基于曲波变换和支持向量机的COVID-19检测

Journal of Innovative Computing and Emerging Technologies Pub Date : 2023-03-02 DOI: 10.56536/jicet.v3i1.55

S. Sobia, Arslan Akram, Tuba Mansoor, Hirra Mustafa

引用次数: 0

Classification of Large Social Twitter Network Data Using R 基于R的大型社交推特网络数据分类

Journal of Innovative Computing and Emerging Technologies Pub Date : 2023-03-02 DOI: 10.56536/jicet.v3i1.56

Muhammad Umer, Muhammad Javaid Iqbal, Tuba Mansoor, Muhammad Usman Nasir, Ali Asif, A. Ikram

引用次数: 0

Demand Prediction on Bike Sharing Data Using Regression Analysis Approach 基于回归分析的共享单车数据需求预测

Journal of Innovative Computing and Emerging Technologies Pub Date : 2023-03-02 DOI: 10.56536/jicet.v3i1.52

Muhammad Aadil Butt, Sani Danjuma, M.Saad Bin Ilyas, Umair Muneer Butt, Maimoona Shahid, Iqra Tariq

{"title":"Demand Prediction on Bike Sharing Data Using Regression Analysis Approach","authors":"Muhammad Aadil Butt, Sani Danjuma, M.Saad Bin Ilyas, Umair Muneer Butt, Maimoona Shahid, Iqra Tariq","doi":"10.56536/jicet.v3i1.52","DOIUrl":"https://doi.org/10.56536/jicet.v3i1.52","url":null,"abstract":"In order to forecast the need for bike-sharing services, this paper suggests a rule-based regression model. Commuters and tourists alike are taking advantage of public bike sharing programs because of the convenience and low carbon footprint they provide. Used information from the UCI Machine Learning Repository. Repeated cross-validation was used to fine-tune the hyper-parameters of five statistical models. Conditional Inference Tree, K-Nearest Neighbor Analysis, Regularized Random Forest, Classification and Regression Trees, and CUBIST. The predictive accuracy of the regression models was measured by calculating the Root Mean Squared Error, R-Squared, Mean Absolute Error, and Coefficient. For both the Seoul Bike and Capital Bikeshare programs, the rule-based model CUBIST was able to account for 95 and 89% of the Variance (R2), respectively. All models built from the two datasets using WEKA v3.8.6, and are used a variable significance analysis to establish which variables were most crucial. The most important factors in determining the hourly demand for bike rentals are the weather and the time of day.","PeriodicalId":145637,"journal":{"name":"Journal of Innovative Computing and Emerging Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127340467","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: 0

Comparative Analysis of Regression Algorithms used to Predict the Sales of Big Marts 大型商场销售预测的回归算法比较分析

Journal of Innovative Computing and Emerging Technologies Pub Date : 2023-03-02 DOI: 10.56536/jicet.v3i1.53

M. Ilyas, A. Ikram, Muhammad Aadil Butt, Iqra Tariq

引用次数: 1

Recognizing Facial Expressions Across Cultures Using Gradient Features 利用梯度特征识别不同文化的面部表情

Journal of Innovative Computing and Emerging Technologies Pub Date : 2023-03-02 DOI: 10.56536/jicet.v3i1.54

Arslan Akram, Aalia Tariq, M. Salman Ali, M. Usman Tariq, Abdulrehman Altaf

引用次数: 0

Analysis of Movie Recommendation System Data Sets using machine learning techniques 使用机器学习技术分析电影推荐系统数据集

Journal of Innovative Computing and Emerging Technologies Pub Date : 2021-09-29 DOI: 10.56536/jicet.v2i2.27

引用次数: 0

Fraud Detection System Using Facial Recognition Based On Google Teachable Machine for Banking Applications 基于人脸识别的银行欺诈检测系统

Journal of Innovative Computing and Emerging Technologies Pub Date : 2021-09-29 DOI: 10.56536/jicet.v2i2.30

Shehla Shoukat, Sheeraz Akram

引用次数: 0

Online Books Recommendation System 网上图书推荐系统

Journal of Innovative Computing and Emerging Technologies Pub Date : 2021-09-29 DOI: 10.56536/jicet.v2i2.34

Saba Bashir, Nawazish Naveed

{"title":"Online Books Recommendation System","authors":"Saba Bashir, Nawazish Naveed","doi":"10.56536/jicet.v2i2.34","DOIUrl":"https://doi.org/10.56536/jicet.v2i2.34","url":null,"abstract":"Recommendation System (RS) is procedure that recommends comparative things to a purchaser dependent on his/her prior buys or enjoying. Recommendation framework examine a huge sum information of articles and arranges a record of those items which would accomplish the prerequisites of the buyer. Book Recommendation System is being utilized by Amazon, Barnes and Noble, Flipkart, Goodreads, and so on. Amazon is notable for realization and suggestions, which assist clients with finding things they may somehow or another not have found. Recommendation frameworks are impressively utilized for proposed new things to clients and assume a significant part in the disclosure of relevant new things of books. Books are basically appropriate to content based and sifting as they are presently commonly reachable in computerized designs which can permit diverse content mining ways to deal with uncover content associated data. This paper addresses a structure to encourage a substance based proposal framework for books. The book proposal framework should recommend books that are of buyer's advantage. This paper introduced book suggestion framework dependent on consolidated highlights of substance sifting, collective separating. In Online business today, substance given to clients to investigate are overpowering in light of the fact that a normal online business site is around (70%) in excess of an actual store in whole number of clients and things. The created framework is utilized To work with online buy a shopping basket is given to the client. The clients are suggested dependent on going before clients rating utilizing network factorization strategy. Recommendation frameworks are widely utilized for prescribe new things to clients and assume an dispensable part in the revelation of related new things, it can be books, motion pictures or music. A fruitful suggestion framework should gives heterogeneous outcomes and ought not be one-sided towards just the most famous things..","PeriodicalId":145637,"journal":{"name":"Journal of Innovative Computing and Emerging Technologies","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126596159","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: 0

Image Retrieval and Clustering Using Image Mining 基于图像挖掘的图像检索和聚类

Journal of Innovative Computing and Emerging Technologies Pub Date : 2021-09-08 DOI: 10.56536/jicet.v2i2.35

{"title":"Image Retrieval and Clustering Using Image Mining","authors":"","doi":"10.56536/jicet.v2i2.35","DOIUrl":"https://doi.org/10.56536/jicet.v2i2.35","url":null,"abstract":"There is an interdisciplinary field which is known as the image mining, it has special features like machine vision, picture handling, picture recovery, information mining. Al, data sets, and man-made reasoning. Notwithstanding the way that many examinations have been led in every one of these areas, picture mining and arising issues research is as vet in its outset. Information mining strategies, for instance, can't naturally remove valuable data from a lot of information, like pictures. In this theory, we examined the overall method of the examination and the fundamental procedures of picture recovery by introducing the exceptional highlights of picture recovery and bunching utilizing picture mining. Finally, in order to make progress and development in this area, we investigated various image retrieval and elustering systems, as well as knowledge extraction from images. In the current scenarin, image retrieval is the primary requirement task. The popular image retrieval system is content-based image retrieval, which retrieves the target image based on the useful features of the given image. If images are clustered correctly, they can be retrieved relatively quickly. The concepts of (Content-Based Image Retrieval) CBIR, image clustering, and image mining have been combined in this thesis, and a new clustering technique has been introduced to improve the speed of the image retrieval system. To improve computational efficiency, the CBIR system employs clustering and deep learning. To obtain detailed and valuable information, the Fuzzy C-based algorithm and technique for CBIR will be used for color-based image retrieval.","PeriodicalId":145637,"journal":{"name":"Journal of Innovative Computing and Emerging Technologies","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115814594","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: 0