Advances in Information Technology: 4th International by Sepideh Adabi, Sahar Adabi, Ali Rezaee (auth.), Borworn

By Sepideh Adabi, Sahar Adabi, Ali Rezaee (auth.), Borworn Papasratorn, Kittichai Lavangnananda, Wichian Chutimaskul, Vajirasak Vanijja (eds.)

It used to be our goal to arrange IAIT 2010 because the position the place researchers and ind- trial practitioners may possibly percentage their paintings and achievements in details know-how, either theoretical and in program. this is often the fourth time we have now equipped IAIT to function a venue to foster collaboration between and academia from assorted elements of the realm. much has been completed because the release of the 1st IAIT in 2005; although, many demanding situations stay to be addressed within the years yet to come. IAIT 2010 drew attendance from prime execs in either and academes, as in IAIT 2009. as well as the appropriate software provided by way of IAIT 2010, the convention p- vided an outstanding surroundings to fulfill friends within the IT occupation, construct relationships, and alternate classes realized. in the course of the convention, individuals offered and d- stubborn the newest issues in details expertise, starting from technical wisdom and experimentation to destiny strategic instructions. because the web keeps to arrive out even additional, virtually every little thing in our everyday life is out there through IP addresses, our societies have to realize that we'd like new wisdom to make this development turn into a gain to all lifestyles during this international. it's nearly very unlikely to achieve this new wisdom with no contributions from our c- leagues, operating in a variety of points of knowledge know-how. a few instances, new wisdom present in one quarter can assist simplify tricky activity in one other. jointly we will make our global larger through developing functions from info technology.

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Additional resources for Advances in Information Technology: 4th International Conference, IAIT 2010, Bangkok, Thailand, November 4-5, 2010. Proceedings

Sample text

Both these results (disease name and stage) help the diagnostic logic to determine the treatment for the patient with accuracy. Other work deals with the presentation of the benefits of using Data Mining techniques in the computer-aided diagnosis (CAD),[2] focusing on the cancer detection, in order to help doctors to make optimal decisions quickly and accurately. Other systems deal with medical diagnosis by framing rules and then using genetic algorithm in order to make the diagnosis in an optimized and efficient way.

All items were measured using a positive word questions on a 5-point Likert scale from 1-strongly disagree to 5-strongly agree. 3%. 49% of respondents were males and 51% were females. Based on age and educational status, the majority (>60%) of the respondents were in the educational age. Around 56% spend 1-5 hours for SNS daily usage. Table 2 shows the demographic details of the respondents. Table 2. Demographic details (the number of subjects = 229) Variable Gender Age (years) Occupation Educational status Daily SNS usage (hours) Value Male Femal < 20 20-25 26-30 > 30 Public sector Private sector Student Under bachelor degree Bachelor degree Graduate school <1 1-5 >5 Frequency 113 116 101 39 46 43 31 59 139 94 89 46 74 128 27 Percentage 49% 51% 44% 17% 20% 19% 13% 26% 61% 41% 39% 20% 32% 56% 12% 48 R.

1 5 1000 Prm, Name of the parameter; SVal, Start value of the parameter; EVal, End value of the parameter; Int, Interval of the parameter between start value and end value; lr, Learning rate; mc, Momentum coefficient; neuron, Number of the neurons in the hidden layer; iteration, Training iterations size. 24 İ. Babaoğlu et al. Table 2. 1 1 Kernel, Kernel type used in SVM; Prm, Name of the parameter; SVal, Start value of the parameter; EVal, End value of the parameter; Int, Interval of the parameter between start value and end value; Linear, Linear type kernel; Polynomial, Polynomial type kernel; RBF, Radial basis type kernel; c, Parameter of linear kernel; d, γ , r and c, Parameters of polynomial kernel; γ and c, Parameters of RBF kernel.

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