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Hussain Saleem,Jamshed Butt,Altaf H. Nizamani,Amin Lalani,Fawwad Alam,Samina Saleem International Journal of Computer ScienceNetwork S 2024 International journal of computer science and netw Vol.24 No.2
The issue "Exploring Social Media and Other Crucial Success Elements of Attitude towards Politics and Intention for Voting in Pakistan" is a huge study embracing more issues. The politics of Pakistan is basically the politics of semantic groups. Pakistan is a multilingual state more than six languages. There are 245 religious parties in Pakistan, as elaborated by the Daily Times research. The use of social media sites in Pakistan peaked to its maximum after announcement of election schedule by the Election Commission of Pakistan in March 22, 2013. Most of the political parties used it for the recent elections in Pakistan to promote their agenda and attract country's 80 million registered electors. This study was aiming to investigate the role of social media and other critical variables in the attitude towards politics and intention for voting.
Data Science and Machine Learning Approach to Improve E-Commerce Sales Performance on Social Web
Hussain Saleem,Khalid Bin Muhammad,Altaf H. Nizamani,Samina Saleem,M. Khawaja Shaiq Uddin,Syed Habib-ur-Rehman,Amin Lalani,Ali Muhammad Aslam International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.8
E-Commerce is a buzzword well known for electronic commerce activities including but not limited to the online shopping, digital payment transactions, and B2B online trading. In today's digital age, e-commerce has been playing a very important and vital role in areas such as retail shopping, sales automation, supply chain management, marketing and advertisement, and payment services. With a huge amount of data been collected from various e-commerce services available, there are multiple opportunities to use that data to analyze graphs and trends. Strategize profitable activities, and forecast future trade. This paper explains a contemporary approach for collecting key data metrics and implementing cost-effective automation that will support in improving conversion rates and sales performance of the e-commerce websites resulting in increased profitability.