Early Destination Prediction with Spatio-temporal User Behavior Patterns
نویسندگان
چکیده
منابع مشابه
Decomposing spatio-temporal seismicity patterns
Seismicity is a distributed process of great spatial and temporal variability and complexity. Efforts to characterise and describe the evolution of seismicity patterns have a long history. Today, the detection of changes in the spatial distribution of seismicity is still regarded as one of the most important approaches in monitoring and understanding seismicity. The problem of how to best descr...
متن کاملSpatio-temporal patterns of crab fisheries in the main bays of Guangdong Province, China
Using a semi-balloon otter trawl, crab fisheries in the main bays of Guangdong Province, China, were carried out seasonally . A total of 70 species were found, all belonging to the South China Sea Faunal sub region in the tropical India-West-Pacific Faunal Region. The clustering and nMDS ordination analysis revealed the existence of three groups. Group 1 included Hailing Bay and four bays to ...
متن کاملSpatio-temporal patterns of crab fisheries in the main bays of Guangdong Province, China
Using a semi-balloon otter trawl, crab fisheries in the main bays of Guangdong Province, China, were carried out seasonally . A total of 70 species were found, all belonging to the South China Sea Faunal sub region in the tropical India-West-Pacific Faunal Region. The clustering and nMDS ordination analysis revealed the existence of three groups. Group 1 included Hailing Bay and four bays to ...
متن کاملMobile Location Prediction in Spatio-Temporal Context
The increasing use of mobile devices and popular mobile services has led to massive availability of mobile data. Location prediction is a specific topic in mobile data mining, with its potential application in traffic planning, location-base advertisement, and user oriented coupon dispersion. Traditional location prediction methods often separately consider spatial or temporal approach. Althoug...
متن کاملNonparametric prediction of nonstationary spatio-temporal processes
In spatial statistics often the response variable at a given location and time is observed together with some covariates which are known to influence the response. In several applications the relationship between the response and covariates may be unknown, and to prevent misspecification of the model, a nonparametric approach could be appropriate. In this paper prediction and forecasting of the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
سال: 2018
ISSN: 2474-9567
DOI: 10.1145/3161197