A Model-Based Analysis of Semiautomated Data Discovery and Entry Using Automated Content-Extraction

Winder, Ransom K.; Haimson, Craig; Goldstein-Stewart, Jade; Grossman, Justin

doi:10.1080/10447318.2012.758528

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…In the literature, there are many data mining models such as classification, estimation, predictive modeling, clustering/segmentation, affinity grouping or association rules, description and visualization, as well as sequential modeling. Similarly, there are also many application methods, including association rules, sequential patterns, grouping analysis, classification analysis, and probability heuristic analysis (Berson, Smith, and Thearling 1999;Mehta and Bhattacharyya 2004;Musaev 2004;Liao 2005;Liao, Chu, and Hsiao 2012;Winder et al 2013). Knowledge of SNS users extracted through data mining can be investigated for business model and SNM knowledge derived from research and then provided to SNS businesses, thereby serving as a valuable reference for the building of their profit model.…”

Section: Introductionmentioning

confidence: 98%

Mining Marketing Knowledge to Explore Social Network Sites and Online Purchase Behaviors

Liao

Hsiao

et al. 2015

Applied Artificial Intelligence

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Social network sites (SNS), as web-based services, allow users to make open or semiopen profiles within the systems they are part of, to see lists of other people in the group, and to see the relationships of people within different groups. As the development of Internet applications has matured, developing and evaluating business models on social network sites has become a critical issue because these sites can be an innovative source for online marketing. Most studies in Taiwan on the behavior or marketing on SNS focus on either advertising or marketing, without picturing the overall scenario. Thus, this study investigates SNS as a research subject, and explores users' online and purchase behaviors in the cybercommunity. For this, the study uses the Apriori algorithm as an association rules approach, and cluster analysis for data mining, to categorize four kinds of online user behavior and generate purchase behavior patterns and rules. The results suggest that online users' SNS and purchase behavior knowledge are critical for the development of online business models.

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Section: Introductionmentioning

confidence: 98%

Mining Marketing Knowledge to Explore Social Network Sites and Online Purchase Behaviors

Liao

Hsiao

et al. 2015

Applied Artificial Intelligence

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RETRACTED ARTICLE: A smart position optimization scheme for badminton doubles based on human–computer interactive training in wireless sensor networks

Yao

Liang

2020

J Wireless Com Network

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In the continuous development process, robot technology based on multimedia interactions has been widely used in aerospace, medical, education and service industries. The relationship between robots and humans is getting closer. The improvement of robot intelligence is a process of continuously learning the outside world. Since 1959, multimedia human–computer interaction technology has provided more and more technical support for human research robots. In this paper, we firstly study the characteristics of badminton competition, including the technical characteristics, tactics characteristics, and the collection requirements about on-site training. The technical description of the badminton doubles station is also completed. Furthermore, in terms of the digitalization of the gait-based sensation, the automated acquisition of the gait technology, the simultaneously with the video, and the high-speed imaging system, the system implement information is integrated. After that, badminton multimedia techniques and tactics are designed based on the extensive statistical analysis. The skills and tactics of athletes are expressed in the form of video, graphics and text. Finally, the operators can carry out the technical and tactical analysis processes through good human–computer interactions. This increases the end user’s game information. The related attention and understanding can strengthen the strength and depth of technical and tactical ability analysis. Thus, we propose the station optimization plan for badminton doubles.

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Research on Position Optimization of Badminton Doubles Based on Wireless Network Sensor and Human-computer Interactive Training

Yao

Liang

2020

Preprint

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In the continuous development process, robot technology based on multimedia interactions has been widely used in aerospace, medical, education and service industries, and the relationship between robots and humans is getting closer. The improvement of robot intelligence is a process of continuously learning the outside world. Since the introduction of multimedia human-computer interaction technology in 1959, it has provided more and more technical support for human research robots. This paper studies the characteristics of badminton competition, the characteristics of technical and tactics and the collection requirements of on-site training, and completes the technical description of the badminton doubles station. Through the digitalization of the gait-based sensation, the automated acquisition of the gait technology, the simultaneously with the video, the high-speed imaging system, the system implement information integration. Subsequently, the statistical analysis of badminton multimedia techniques and tactics was designed. The skills and tactics of athletes were expressed in the form of video, graphics and text. The operators can carry out the technical and tactical analysis implementation process through good human-computer interaction, and increase the end user's game information. Attention and understanding strengthen the strength and depth of technical and tactical ability analysis. Finally, the station optimization plan for badminton doubles is proposed.

show abstract

A Model-Based Analysis of Semiautomated Data Discovery and Entry Using Automated Content-Extraction

Cited by 3 publications

References 6 publications

Mining Marketing Knowledge to Explore Social Network Sites and Online Purchase Behaviors

Mining Marketing Knowledge to Explore Social Network Sites and Online Purchase Behaviors

RETRACTED ARTICLE: A smart position optimization scheme for badminton doubles based on human–computer interactive training in wireless sensor networks

Research on Position Optimization of Badminton Doubles Based on Wireless Network Sensor and Human-computer Interactive Training

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