Data mining for prediction and interpretation of bacterial population behavior in food Junpei Hosoe 1†, Junya Sunagawa 2†, Shinji Nakaoka 2 , Shige Koseki 1 and

Data mining for prediction and interpretation of bacterial population behavior in food Junpei Hosoe 1†, Junya Sunagawa 2†, Shinji Nakaoka 2 , Shige Koseki 1 and Kento Koyama 1 * 1 Graduate School of Agricultural Science, Hokkaido University Kita-9, Sapporo, Japan, 2 Graduate School of Life Science, Hokkaido University Kita-10 Nishi-8, Sapporo, Japan Although bacterial population behavior has been investigated in a variety of foods in the past 40 years, it is difficult to obtain desired...

food science, processing, quality, color, shelf life
Data mining for prediction and interpretation of bacterial population behavior in food Junpei Hosoe 1†, Junya Sunagawa 2†, Shinji Nakaoka 2 , Shige Koseki 1 and