Individualized Time-Series Segmentation for Mining Mobile Phone User
Behavior

Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior

15 November 2018

Iqbal H. Sarker

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Papers citing "Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior"

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Title
Cadence: A Practical Time-series Partitioning Algorithm for Unlabeled IoT Sensor Streams Tahiya Chowdhury Murtadha M. N. Aldeer Shantanu Laghate Jorge Ortiz AI4TS 48 2 0 06 Dec 2021
An Efficient K-means Clustering Algorithm for Analysing COVID-19 M. Zubair MD.Asif Iqbal A. Shil Enamul Haque M. M. Hoque Iqbal H. Sarker 29 24 0 21 Dec 2020
ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data Shohreh Deldari Daniel V. Smith Amin Sadri Flora D. Salim AI4TS 76 22 0 24 Jul 2020
Crime Prediction Using Spatio-Temporal Data Sohrab Hossain Ahmed Abtahee Imran Kashem M. M. Hoque Iqbal H. Sarker 68 61 0 11 Mar 2020
CalBehav: A Machine Learning based Personalized Calendar Behavioral Model using Time-Series Smartphone Data Iqbal H. Sarker A. Colman Jun Han A. Kayes P. Watters AI4TS 34 9 0 02 Sep 2019
AppsPred: Predicting Context-Aware Smartphone Apps using Random Forest Learning Iqbal H. Sarker K. Salah 431 38 0 26 Aug 2019
E-MIIM: An Ensemble Learning based Context-Aware Mobile Telephony Model for Intelligent Interruption Management Iqbal H. Sarker A. Kayes Md. Hasan Furhad Mohammad Mainul Islam Md. Shohidul Islam 47 6 0 25 Aug 2019
A Machine Learning based Robust Prediction Model for Real-life Mobile Phone Data Iqbal H. Sarker 39 85 0 11 Feb 2019
Research Issues in Mining User Behavioral Rules for Context-Aware Intelligent Mobile Applications Iqbal H. Sarker 34 11 0 30 Oct 2018
Mobile Data Science: Towards Understanding Data-Driven Intelligent Mobile Applications Chaitanya Baweja 34 19 0 15 Oct 2018