{"title":"The Evolution of Trends and Techniques used for Data Mining","authors":"Shahzad Nazir, M. Asif, Shahbaz Ahmad","doi":"10.23919/ICACS.2019.8689125","DOIUrl":"https://doi.org/10.23919/ICACS.2019.8689125","url":null,"abstract":"Data mining has got the festivity among the most emerging fields of the current epoch. Extensive data is being generated therefore the need of the hour is to mine the interesting trends and patterns. For mining such trends, different techniques and algorithms are introduced and applied during the last decades. In this paper, we are extracting the essence from massive text corpora in the form of potential techniques used in the esteemed field of data mining. For the purpose of exploring the trends, we considered the time span from 2014 to 2018. For this purpose, a novel dataset comprising of the abstracts and metadata of 5,843 articles is procured. All the extracted contents of data mining are published in esteemed journals indexed by ScienceDirect. Text mining techniques including noun phrase mining and TF-IDF are employed to reveal the evolution of hot trends in the field of data mining during the underlying span. For better visualization, the year-wise and overall evolution of these hot trends is presented in the form of the word cloud. Machine learning algorithms are found as the shoulders of the giants, on which, data mining domain is standing.","PeriodicalId":290819,"journal":{"name":"2019 2nd International Conference on Advancements in Computational Sciences (ICACS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125279312","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}
Radmila Janković, Alessia Amelio, Zulfiqar Ali Ranjha
{"title":"Classification of Energy Consumption in the Balkans using Ensemble Learning Methods","authors":"Radmila Janković, Alessia Amelio, Zulfiqar Ali Ranjha","doi":"10.23919/ICACS.2019.8689000","DOIUrl":"https://doi.org/10.23919/ICACS.2019.8689000","url":null,"abstract":"This paper explores the use of ensemble learning methods for classifying the energy consumption from (i) gross domestic product, (ii) CO2 emissions, and (iii) total number of population. The proposed analysis extends the previous research where prediction of the energy consumption values was performed using regression strategies. The experiment involves energy use data from five different Balkan countries, which is collected in the period 1995-2014. The energy consumption classes are obtained from the energy use values by K-Medians and analysed. Then, multiclass ensembles of support vector machine and linear discriminant analysis are used for classification of the energy consumption given the gross domestic product, the CO2 emissions, and the total number of population. The classification task is compared with a traditional multiclass support vector machine approach. The obtained results are very promising.","PeriodicalId":290819,"journal":{"name":"2019 2nd International Conference on Advancements in Computational Sciences (ICACS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123693347","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}
{"title":"ICACS 2019 Foreword","authors":"","doi":"10.23919/icacs.2019.8689133","DOIUrl":"https://doi.org/10.23919/icacs.2019.8689133","url":null,"abstract":"","PeriodicalId":290819,"journal":{"name":"2019 2nd International Conference on Advancements in Computational Sciences (ICACS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132336305","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}
{"title":"[ICACS'19 Call for papers]","authors":"","doi":"10.23919/icacs.2019.8689127","DOIUrl":"https://doi.org/10.23919/icacs.2019.8689127","url":null,"abstract":"","PeriodicalId":290819,"journal":{"name":"2019 2nd International Conference on Advancements in Computational Sciences (ICACS)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133842804","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}