In this paper we propose the effect of human intervention in cause effect relationships. In data mining, human intervention has effect on the prediction the results of the relationships. If we ignore human interventio...
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Interpretation of semantic orientation of a word depends on the domain topic it describes. Based on Semantic Orientation Pointwise Mutual Information (SO-PMI), we propose a framework for prediction of semantic orienta...
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ISBN:
(纸本)9789746724913
Interpretation of semantic orientation of a word depends on the domain topic it describes. Based on Semantic Orientation Pointwise Mutual Information (SO-PMI), we propose a framework for prediction of semantic orientations of words with respect to a domain topic. The framework exploits the number of hits obtained from an available search engine for calculating the SO-PMI value of a given pair of a domain topic and a word with unknown sentiment. For improvement of prediction accuracy, the framework adjusts SO-PMI values by employment of tuning parameters, which are learnt automatically from training data. The framework is evaluated on two different domain topics and the overall accuracy in the range of 66%-78% is obtained.
Both Data hiding and data compression are very important technologies in the field of image processing. It seems that there is no relationship between data hiding and data compression because most of the data hiding m...
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Visualization of highway traffic environments in virtual reality plays a key role on fidelity of simulation and validity of driving behaviors in driving simulator studies. This paper describes a procedure to replicate...
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Visualization of highway traffic environments in virtual reality plays a key role on fidelity of simulation and validity of driving behaviors in driving simulator studies. This paper describes a procedure to replicate a signalized intersection with many complex features into a driving simulator's 3-D databases through building a graphical visual database, constructing a road motion database, and creating simulated traffic. The validity of the visualization was assessed via the comparison of the drivers' speeds in the simulator and the speed data at the real intersection. It was found that both speed data follow normal distributions and have equal means for each intersection approach;however, that the speeds measured in the driving simulator have a larger variability than those measured in the field. The users' subjective evaluation results indicated that 92% subjects could recognize the simulated intersection in the driving simulator experiment. Therefore, the strategy of geo-specific environment modeling would be useful for studying driving behaviors in virtual environments.
We research the multimedia information hiding (MIH) which is a technology to overlay digital information on multimedia contents such as picture, sound, document, etc. As application to disaster management of MIH, we h...
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We research the multimedia information hiding (MIH) which is a technology to overlay digital information on multimedia contents such as picture, sound, document, etc. As application to disaster management of MIH, we have developed a new technology called "PAIH" (Public Address Information Hiding) which is a technology to overlay information such as position or destination on siren sound of urgent vehicles. Siren sound is allowed to degrade of sound quality, but PAIH is required to decode correct information from siren sound with pitch shift (Doppler effect) or under noisy environment.
Effectively teaching human-centered design can pose challenges within the undergraduate curriculum as it requires access to users and stakeholders. Service-learning, a growing pedagogy within engineering, offers many ...
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Drinking water can be contaminated by microorganisms which can be re-grown in case of not controlling chlorine concentration well in water treatment plant (hereafter WTP). It can be harmful to public health. Most WTPs...
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A simple and intuitive model to mine an email transactions log for significant messages and users is presented. No use is made of NLP or semantic analysis. The model is based only on scoring messages and users from a ...
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ISBN:
(纸本)9788988678312
A simple and intuitive model to mine an email transactions log for significant messages and users is presented. No use is made of NLP or semantic analysis. The model is based only on scoring messages and users from a graphtheoretic analysis of the communication pattern represented in the transaction log. Practical experiments indicate the potential of the model.
Medical data mining is *** this paper,we propose a new data mining method which is the combination of some existing ideas consisting of the concept of template based learning,the large fraction proposed in [1]and the ...
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Medical data mining is *** this paper,we propose a new data mining method which is the combination of some existing ideas consisting of the concept of template based learning,the large fraction proposed in [1]and the support and confidence as proposed in [2]to mine a medical data set,IUI (Intrauterine Insemination) data and show the *** data is about Intra Uterine Insemination treatment which helps couples in infertility clinic to get *** results show that the knowledge mined is satisfied by the experts in the field.
Medical data mining is so *** this paper,we propose a new data mining algorithm called GAJA2,which is a derivation of GAJA [1].We apply GAJA2 to mine Acute Inflammations data set,a medical data set got from UCI machin...
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Medical data mining is so *** this paper,we propose a new data mining algorithm called GAJA2,which is a derivation of GAJA [1].We apply GAJA2 to mine Acute Inflammations data set,a medical data set got from UCI machine learning repository 2009[2].This data set is about symptoms and diagnosis of two diseases of urinary system which are inflammation of urinary bladder and Nephritis of renal pelvis *** results show that knowledge mined by using GAJA2 is very *** compare the results from GAJA2 with GAJA and Rough Set *** found that the results from GAJA2 can be used by the experts in the fields and are very much easier to understand than from GAJA and Rough Set Theory.
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