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Class01 Advanced Image Processing Data and Web Mining

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Page 1: 2019term2-Master Eng Class01 - Naresuan University · Microsoft PowerPoint - 2019term2-Master Eng Class01 Author: Panomkhawn Created Date: 11/29/2019 1:38:48 PM

Class01

Advanced Image ProcessingData and Web Mining

Page 2: 2019term2-Master Eng Class01 - Naresuan University · Microsoft PowerPoint - 2019term2-Master Eng Class01 Author: Panomkhawn Created Date: 11/29/2019 1:38:48 PM

Data and Web Mining

Data mining terminology and concepts; data preparation process; data mining task analysis; classification and prediction; clustering; genetic algorithms; fuzzy sets; rough sets; artificial neural networks; association and rule generation; frequent itemset algorithms; correlated items; matching and mining event sequences; web content mining; web structure mining; web usage mining

Page 3: 2019term2-Master Eng Class01 - Naresuan University · Microsoft PowerPoint - 2019term2-Master Eng Class01 Author: Panomkhawn Created Date: 11/29/2019 1:38:48 PM

Assignment01

1.Review 3 publications related to data and web mining applications

2.Prepare the presentation in ppt3.Present next Friday

1.Review 3 publications related to data and web mining applications

2.Prepare the presentation in ppt3.Present next Friday

Page 4: 2019term2-Master Eng Class01 - Naresuan University · Microsoft PowerPoint - 2019term2-Master Eng Class01 Author: Panomkhawn Created Date: 11/29/2019 1:38:48 PM

Advanced Image Processing

Multiscale image decomposition and wavelets; image noise models; image edge detection; color and multispectral image representation; multiscale denoising of photographic images; nonlinear filtering for image analysis and enhancement; image quality assessment

Page 5: 2019term2-Master Eng Class01 - Naresuan University · Microsoft PowerPoint - 2019term2-Master Eng Class01 Author: Panomkhawn Created Date: 11/29/2019 1:38:48 PM

Assignment01

1.Review 3 publications related to image processing applications

2.Prepare the presentation in ppt3.Present next Friday

1.Review 3 publications related to image processing applications

2.Prepare the presentation in ppt3.Present next Friday