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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.
Ali Khan Khuwaja,Saleem Khawaja,Komal Motwani,Adeel Akbar Khoja,Iqbal Syed Azam,Zafar Fatmi,Badar Sabir Ali,Muhammad Masood Kadir 대한예방의학회 2011 예방의학회지 Vol.44 No.5
Objectives: The rising burden of preventable risk factors for non-communicable diseases (NCDs) among adolescents is a major public health challenge worldwide. We identified the preventable risk factors for NCDs in adolescents. Methods: In a school-based study, pre-tested structured questionnaires were completed by 414 adolescents (14 to 17years) at six schools in three cities in Pakistan. The chi-squared test and adjusted odds ratio (aOR) with 95% confidence interval (CI) were calculated in a multinomial logistic regression analysis. Results: Over 80% of the adolescents had unhealthy diets, and 54% were physically inactive. Most adolescents were exposed to passive smoking, and 14% were also current smokers. More than one-third of participants chewed betel nut,and one-quarter used oral tobacco. More girls were physically inactive (OR, 4.07; 95% CI, 2.69 to 6.17), whereas a greater proportion of boys were current smokers (OR, 2.17; 95% CI, 1.19 to 3.91), exposed to passive smoking (OR, 2.57;95% CI, 1.72 to 3.83), and using betel nut (OR, 2.03; 95% CI, 1.34 to 3.06). Only 3.1% of the participants were without any preventable lifestyle risk factor for NCDs, and over 80% had ≥2 factors. Co-existence of risk factors was independently associated with fathers being blue-collar workers (aOR, 3.57; 95% CI, 1.07 to 11.92) and parents not treating their child fairly (aOR, 5.05; 95% CI, 1.29 to 19.78). Conclusions: Most of the adolescents studied had preventable risk factors for NCDs. These results warrant comprehensive and integrated interventions to prevent lifestyle risk factors, and parents are front-line stakeholders.
Khuwaja, Ali Khan,Khawaja, Saleem,Motwani, Komal,Khoja, Adeel Akbar,Azam, Iqbal Syed,Fatmi, Zafar,Ali, Badar Sabir,Kadir, Muhammad Masood The Korean Society for Preventive Medicine 2011 예방의학회지 Vol.44 No.5
Objectives: The rising burden of preventable risk factors for non-communicable diseases (NCDs) among adolescents is a major public health challenge worldwide. We identified the preventable risk factors for NCDs in adolescents. Methods: In a school-based study, pre-tested structured questionnaires were completed by 414 adolescents (14 to 17 years) at six schools in three cities in Pakistan. The chi-squared test and adjusted odds ratio (aOR) with 95% confidence interval (CI) were calculated in a multinomial logistic regression analysis. Results: Over 80% of the adolescents had unhealthy diets, and 54% were physically inactive. Most adolescents were exposed to passive smoking, and 14% were also current smokers. More than one-third of participants chewed betel nut, and one-quarter used oral tobacco. More girls were physically inactive (OR, 4.07; 95% CI, 2.69 to 6.17), whereas a greater proportion of boys were current smokers (OR, 2.17; 95% CI, 1.19 to 3.91), exposed to passive smoking (OR, 2.57; 95% CI, 1.72 to 3.83), and using betel nut (OR, 2.03; 95% CI, 1.34 to 3.06). Only 3.1% of the participants were without any preventable lifestyle risk factor for NCDs, and over 80% had ${\geq}$2 factors. Co-existence of risk factors was independently associated with fathers being blue-collar workers (aOR, 3.57; 95% CI, 1.07 to 11.92) and parents not treating their child fairly (aOR, 5.05; 95% CI, 1.29 to 19.78). Conclusions: Most of the adolescents studied had preventable risk factors for NCDs. These results warrant comprehensive and integrated interventions to prevent lifestyle risk factors, and parents are front-line stakeholders.