کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10326453 678070 2016 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The discovery of personally semantic places based on trajectory data mining
ترجمه فارسی عنوان
کشف مکان های معنایی شخصی بر اساس داده های مسیریابی
کلمات کلیدی
داده کاوی مسیریابی، استخراج محل شناخت محل، محاسبات موقعیت مکانی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
A personally semantic place is a space that is frequently visited by an individual user and carries important semantic meanings (e.g. home, work, etc.) to the user. Many location-aware applications could be greatly enhanced by the ability of automatic discovery of personally semantic places. The discovery of a user's personally semantic places involves obtaining the physical locations and semantic meanings of these places. In this paper, we propose approaches to address both of the problems. For the physical place extraction problem, a hierarchical clustering algorithm is proposed to firstly extract visit points from the GPS trajectories, and then clusters these visit points to form physical places. For the semantic place recognition problem, the temporal, spatial and sequential features in which the places have been visited are explored to categorize them into pre-defined types. An extensive set of experiments conducted based on a dataset of real-world GPS trajectories has demonstrated the effectiveness of the proposed approaches.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 173, Part 3, 15 January 2016, Pages 1142-1153
نویسندگان
, , , , ,