Clickstream &amp; behavioral analysis with context awareness for e-commercial applications

Bansal, Sakshi; Gupta, Chetan; Sinha, Adwitiya

doi:10.1109/ic3.2017.8284328

Cited by 10 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The results of this study are expected to provide benefits for database owners to complete organizational tasks and distribute the data at the right time. This is in accordance with the results of research by [17], [18], [21], [22], [30][31][32]. User click stream data storage on the website is needed to understand customer behavior and provide understanding to website administrators about what guests do on their website.…”

Section: Functionality For F50 and F51supporting

confidence: 79%

Database Click Stream of E-commerce Functional

Triandini¹,

Suardika

Suniantara

2021

matrik

View full text Add to dashboard Cite

The availability of e-commerce functionality that suits for user needs in e-commerce applications will increase the sustainability of application usage and can provide benefits for its users. Many e-commerce applications have been developed, but based on the results of previous research, these e-commerce applications do not pay attention to the availability of functionality and its advantages in the application. A database design to store functional clickstream ecommerce is required to determine the number of features that users are accessing. Database application development is the activity of identifying real-world requirements, analyzing requirements, designing system data and functions, and then implementing operations in the system. The database life cycle method is used to build a database in this study. This research has produced a click stream database that has added functional attributes available in e-commerce, which are accessed by users. The results also show the addition of several tables that will facilitate the management of click stream data functionality from e-commerce applications.

show abstract

Section: Functionality For F50 and F51supporting

confidence: 79%

Database Click Stream of E-commerce Functional

Triandini¹,

Suardika

Suniantara

2021

matrik

View full text Add to dashboard Cite

show abstract

“…Hasil eksperimen mereka menyatakan bahwa preferensi pelanggan untuk fitur produk tertentu memainkan peran kunci dalam pengambilan keputusan. Selanjutnya, Bansal et al [14] mengusulkan analisis kerangjang pasar untuk membantu pengguna dengan pilihan yang tepat saat membeli produk bersama dengan barang yang sudah dibeli, sehingga menawarkan pengalaman membeli yang lebih baik. Pendekatan data mining untuk menganalisis perilaku pelanggan diusulkan oleh Gull, M and Pervaiz, M [15].…”

Section: Tinjauan Literaturunclassified

Data Science bidang Pemasaran : Analisis Prilaku Pelanggan

Harahap

Lubis

Situmorang

2021

dsi

View full text Add to dashboard Cite

Dalam kegiatan pemasaran digital, data Science (DS) memiliki peran penting dalam memahami kinerja industri pemasaran sebelum menerapkan teknik pemasaran digital pada pemasaran produk. Hal ini dikarenakan setiap pelanggan merespons secara berbeda setiap penawaran. Perilaku pelanggan juga berubah berdasarkan waktu karena mereka mungkin memiliki kebutuhan yang berbeda pada situasi yang berbeda. Pada makalah ini fokus menyajikan analisis bisnis dengan penerapan DS untuk mengeksplorasi pola perilaku dan juga memprediksi bagaimana pelanggan akan merespons penawaran yang berbeda. Penerapan analisis data eksplorasi juga diterapkan untuk menjawab beberapa pertanyaan bisnis, dari hasil pengamatan menghasilkan lima kelompok pelanggan yang disajikan dalam bentuk visualisasi dan model Random Forest Classifier memiliki skor akurasi prediksi terbaik sebesar 91%, kemudian K neighbors Classifier dan Logistic Regression.

show abstract

Complex Social Networks: Dynamics, Domains, and Dimensions

Gera,

Sinha

2024

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

Clickstream & behavioral analysis with context awareness for e-commercial applications

Cited by 10 publications

References 9 publications

Database Click Stream of E-commerce Functional

Database Click Stream of E-commerce Functional

Data Science bidang Pemasaran : Analisis Prilaku Pelanggan

Complex Social Networks: Dynamics, Domains, and Dimensions

Contact Info

Product

Resources

About