Location prediction algorithm based on movement tendency
A location prediction algorithm based on movement tendency (LP-MT) was proposed, which not only buils moving object's historical activity model borrowing from Markov thinking, but also added movement tendency as an important reference of location prediction. Besides, each of the historical stay...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2014-02-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.02.007/ |
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| _version_ | 1841539704954028032 |
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| author | Wen LI Shi-xiong XIA Feng LIU Lei ZHANG Guan YUAN |
| author_facet | Wen LI Shi-xiong XIA Feng LIU Lei ZHANG Guan YUAN |
| author_sort | Wen LI |
| collection | DOAJ |
| description | A location prediction algorithm based on movement tendency (LP-MT) was proposed, which not only buils moving object's historical activity model borrowing from Markov thinking, but also added movement tendency as an important reference of location prediction. Besides, each of the historical stay regions was considered as a candidate of future location. According to the characteristics of the future location, algorithm results were divided into prediction locations and recommendation locations. Experiment results on real dataset show LP-MT method can ensure good efficiency and improve the accuracy by 10% compared with the existing algorithms. |
| format | Article |
| id | doaj-art-08e7fc3ed15e4efe9c5d47e201809bbe |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2014-02-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-08e7fc3ed15e4efe9c5d47e201809bbe2025-01-14T06:42:41ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-02-0135465359679417Location prediction algorithm based on movement tendencyWen LIShi-xiong XIAFeng LIULei ZHANGGuan YUANA location prediction algorithm based on movement tendency (LP-MT) was proposed, which not only buils moving object's historical activity model borrowing from Markov thinking, but also added movement tendency as an important reference of location prediction. Besides, each of the historical stay regions was considered as a candidate of future location. According to the characteristics of the future location, algorithm results were divided into prediction locations and recommendation locations. Experiment results on real dataset show LP-MT method can ensure good efficiency and improve the accuracy by 10% compared with the existing algorithms.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.02.007/location predictionmoving objectMarkov modelmovement tendencyregion reach-ability |
| spellingShingle | Wen LI Shi-xiong XIA Feng LIU Lei ZHANG Guan YUAN Location prediction algorithm based on movement tendency Tongxin xuebao location prediction moving object Markov model movement tendency region reach-ability |
| title | Location prediction algorithm based on movement tendency |
| title_full | Location prediction algorithm based on movement tendency |
| title_fullStr | Location prediction algorithm based on movement tendency |
| title_full_unstemmed | Location prediction algorithm based on movement tendency |
| title_short | Location prediction algorithm based on movement tendency |
| title_sort | location prediction algorithm based on movement tendency |
| topic | location prediction moving object Markov model movement tendency region reach-ability |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.02.007/ |
| work_keys_str_mv | AT wenli locationpredictionalgorithmbasedonmovementtendency AT shixiongxia locationpredictionalgorithmbasedonmovementtendency AT fengliu locationpredictionalgorithmbasedonmovementtendency AT leizhang locationpredictionalgorithmbasedonmovementtendency AT guanyuan locationpredictionalgorithmbasedonmovementtendency |