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Towards Deep Player Behavior Models in MMORPGs

Johannes Pfau, Jan David Smeddinck, Rainer Malaka
2018 The Annual Symposium on Computer-Human Interaction in Play Extended Abstracts - CHI PLAY '18  
Data analysis and individual reports indicate that deep learning can be employed to provide adequate models of individual player behavior with high accuracy for predicting skill-use and a high correlation  ...  and Explicating Instructions for Everyday Activities", as well as by the German Federal Ministry of Education and Research (BMBF) through the project Adaptify, and the DAAD FITweltweit program.  ...  Foundation (DFG) as part of Collaborative Research Center (Sonderforschungsbereich) 1320 EASE -Everyday Activity Science and Engineering, University of Bremen (http://www.easecrc.org/), subproject H2 "Mining  ... 
doi:10.1145/3242671.3242706 dblp:conf/chiplay/PfauSM18 fatcat:lgo7mist2vcr7pg5qjd4ai7lwe

Big Trajectory Data Mining: A Survey of Methods, Applications, and Services

Di Wang, Tomio Miwa, Takayuki Morikawa
2020 Sensors  
Practical implications are also delivered for participants in trajectory data mining.  ...  The increasingly wide usage of smart infrastructure and location-aware terminals has helped increase the availability of trajectory data with rich spatiotemporal information.  ...  movement with its movement patterns for location prediction [107, 116] ; Matching one object's ongoing trajectory with its previous trajectories for route prediction [110] ; Note: Not all cases are  ... 
doi:10.3390/s20164571 pmid:32824028 pmcid:PMC7472055 fatcat:bgav5exs3nejhp42bbakf3ftp4

Incremental Frequent Route Based Trajectory Prediction

Anja Bachmann, Christian Borgelt, Győző Gidófalvi
2013 Proceedings of the Sixth ACM SIGSPATIAL International Workshop on Computational Transportation Science - IWCTS '13  
To this extent the present paper proposes IncCCFR-a novel, incremental approach for managing, mining, and predicting the incrementally evolving trajectories of moving objects.  ...  Recent technological trends enable modern traffic prediction and management systems in which the analysis and prediction of movements of objects is essential.  ...  RELATED WORK The following paragraphs discuss related work in frequent pattern and trajectory mining and prediction.  ... 
doi:10.1145/2533828.2533840 dblp:conf/gis/BachmannBG13 fatcat:bb3dkjalobcdbnw7o7hlql5a3a

Mobility, Data Mining and Privacy: The GeoPKDD Paradigm [chapter]

Fosca Giannotti, Roberto Trasarti
2010 Proceedings of the 2009 SIAM Conference on "Mathematics for Industry"  
Pursuing this ambitious objective, the GeoPKDD project has started a new exciting multidisciplinary research area, at the crossroads of mobility, data mining, and privacy.  ...  Miniaturization, wearability, pervasiveness of mobile devices are producing traces of our mobile activity, with increasing positioning accuracy and semantic richness: location data from mobile phones (  ...  Trajectory Classification and Location Prediction.  ... 
doi:10.1137/1.9781611973303.2 fatcat:4ig3w67fbrbqvibvq3iwlw7qly

Analyzing large-scale human mobility data: a survey of machine learning methods and applications

Eran Toch, Boaz Lerner, Eyal Ben-Zion, Irad Ben-Gal
2018 Knowledge and Information Systems  
patterns of interest within these data in order to promote the development of location-based services and applications.  ...  The efforts to mine significant patterns within large-scale, high-dimensional mobility data have solicited use of advanced analysis techniques, usually based on machine learning methods, and therefore,  ...  Acknowledgements This work is supported by the Israeli Ministry of Science, Technology, and Space, Grant No. 3-8709: Learning and mining mobility patterns using stochastic models.  ... 
doi:10.1007/s10115-018-1186-x fatcat:nesak2c3uzhyvhynd5gv4vmeve

Predict the location of moving objects using mining association rules of movement patterns

Phuong Tien Nguyen, Duc Van Dang
2013 Journal of Computer Science and Cybernetics  
This paper also proposes a method to predict the location of moving objects using mining association rules of movement patterns.  ...  Abstract.  ...  MINING ASSOCIATION RULES OF MOVEMENT PATTERNS TO PREDICT THE LOCATION OF MOVING OBJECTS Considering a moving object continually over time, predictive queries ask for the object's probable location at some  ... 
doi:10.15625/1813-9663/29/3/3025 fatcat:oa5rfyshindbpotdqx7w7uaare

Prefix-Pruning-Based Distributed Frequent Trajectory Pattern Mining Algorithm

Jiaman Ding, Yunpeng Li, Ling Li, Lianyin Jia, Ana C. Teodoro
2022 Mathematical Problems in Engineering  
An important problem to be solved in smart city construction is how to improve the efficiency of mining frequent patterns that can be used for location prediction and location-based services of massive  ...  First, a grouping and partitioning technique is used to abstract the original trajectory data and convert them into a common time series.Then, the generation of a redundant trajectory pattern is avoided  ...  Moreover, through trajectory abstraction, frequent pattern mining in trajectory data is transformed into frequent sequence pattern mining in transaction data.  ... 
doi:10.1155/2022/3838147 fatcat:2ghwk452prfvtehep2bf7onlvi

Mining Frequent Trajectory Patterns from GPS Tracks

Gang Chen, Baoquan Chen, Yizhou Yu
2010 2010 International Conference on Computational Intelligence and Software Engineering  
Then, for each pattern instance, we use an efficient graph-based searching algorithm to mine the frequent trajectory patterns, which utilizes the adjacency property to reduce the search space.  ...  Given such a database that contains many taxi trajectories, we study a new problem of discovering frequent sequential patterns. The proposed method comprises two phases.  ...  This work was supported in part by National Natural Science Foundation of China through Grants 60902104 and 60728204, National High-tech R&D Program of China (2009AA01Z302), and Shenzhen Science and Technology  ... 
doi:10.1109/cise.2010.5677000 fatcat:ttzqtfatwjfqhi3gpxt5e7up7y

A Survey on Trajectory Data Mining: Techniques and Applications

Zhenni Feng, Yanmin Zhu
2016 IEEE Access  
In this paper, we survey various applications of trajectory data mining, e.g., path discovery, location prediction, movement behavior analysis, and so on.  ...  A trajectory is typically represented by a sequence of timestamped geographical locations. A wide spectrum of applications can benefit from the trajectory data mining.  ...  PATTERN MINING Pattern mining is to analyze mobility patterns of a moving object or multiple moving objects together.  ... 
doi:10.1109/access.2016.2553681 fatcat:bwz3c6oyfjahroihps7i3wo76q

From Raw Pedestrian Trajectories to Semantic Graph Structured Model—Towards an end-to-end spatiotemporal analytics framework

Lamia Karim, Azedine Boulmakoul, Karine Zeitouni
2021 Procedia Computer Science  
The abstract model provides a high semantic expressiveness through spatiotemporal queries and a high-level graph representation of the data.  ...  The abstract model provides a high semantic expressiveness through spatiotemporal queries and a high-level graph representation of the data.  ...  These trajectories can also relate the semantics of locations through points of interest (semantic trajectories).  ... 
doi:10.1016/j.procs.2021.03.018 fatcat:f5fina36vzcrpljqgoyfbta4be

MyRoute: A Graph-Dependency Based Model for Real-Time Route Prediction

Hanane Amirat, Nasreddine Lagraa, Philippe Fournier-Viger, Youcef Ouinten
2017 Journal of Communications  
To cope with noise found in trajectory data, a lookahead window is used to build the prediction graph.  ...  However, many mobility prediction approaches are not noise tolerant, do not consider collective and individual behavior for making predictions, and provide a low accuracy.  ...  Movement patterns are then extracted from abstracted trajectories using an extension of the CRPM algorithm. Merah et al.  ... 
doi:10.12720/jcm.12.12.668-676. fatcat:quwfcttevbgxzeemclabo7zxs4

Spatiotemporal Data Mining: A Computational Perspective

Shashi Shekhar, Zhe Jiang, Reem Ali, Emre Eftelioglu, Xun Tang, Venkata Gunturi, Xun Zhou
2015 ISPRS International Journal of Geo-Information  
Spatiotemporal data mining studies the process of discovering interesting and previously unknown, but potentially useful patterns from large spatiotemporal databases.  ...  pattern families.  ...  Local patterns are patterns in which change at a given location depends only on attributes at this location.  ... 
doi:10.3390/ijgi4042306 fatcat:hwnwbw7wm5hx5c4ncrvv533qju

Location Prediction Models using Data Mining and Machine Learning

2020 International Journal of Engineering and Advanced Technology  
to many real life applications such as location targeted-advertising, recommendation systems, crime-rate detection, home trajectory analysis etc.  ...  A next location prediction model is a model that uses this data and can be designed as a combination of two or more models and techniques, but these have their own pros and cons.  ...  Pattern trajectory, mined from historical data can be used for predicting locations. This was demonstrated by L. D. M. Lam, A. Tang and J.  ... 
doi:10.35940/ijeat.c6044.029320 fatcat:t6arkry335gftkj54dulsy5b54

Mining geographic-temporal-semantic patterns in trajectories for location prediction

Josh Jia-Ching Ying, Wang-Chien Lee, Vincent S. Tseng
2013 ACM Transactions on Intelligent Systems and Technology  
In recent years, researches on location predictions by mining trajectories of users have attracted a lot of attention.  ...  To the best of our knowledge, this is the first work on location prediction based on trajectory pattern mining that explores the geographic, temporal, and semantic properties simultaneously.  ...  Patterns in Trajectories for Location Prediction zz:17 Mining Geographic-Temporal-Semantic Patterns in Trajectories for Location Prediction zz:25  ... 
doi:10.1145/2542182.2542184 fatcat:frodeo7nrzdxjdd7f32f4smn6i

Analysis of Travel Patterns of Seoul Tourists by Trajectory Data Mining

Juyoon Lee, Youngok Kang, Nayeon Kim, Dongeun Kim, Yearim Park
2019 Abstracts of the International Cartographic Association  
<p><strong>Abstract.  ...  </p><p>The purpose of this research is to analyze the movement pattern of tourists who visited Seoul by using Flickr data, which is one type of SNS. For this, we went through the following process.  ...  S. 2012, "Mining travel patterns from geotagged photos".  ... 
doi:10.5194/ica-abs-1-209-2019 fatcat:jokhbrieprahnexqnge22vco74
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