@article{oai:uec.repo.nii.ac.jp:00008591,
 author = {清洲, 正勝 and KIYOSU, Masakatsu and 田村, 元紀 and TAMURA, Motonori},
 issue = {1},
 journal = {電気通信大学紀要},
 month = {Feb},
 note = {By the accumulation of big data and improvement of the computer ability, the mathematics theory including machine learning or data mining became a practical use stage. With it, the specialist in data science is highly demanded in the field of various sciences and industry.
   We defined the conformity degree index for lecture contents of the data science and tried effective inspection in the human resources development program. As a result, it was shown that the conformity degree index for each student was effective for an index of educational training, and the conformity degree index for each teacher was effective for the teacher or the lecture constitution. These indexes are extremely effective to optimize the human resources development program in the data science.},
 pages = {94--99},
 title = {データサイエンスの人材育成モデル},
 volume = {30},
 year = {2018},
 yomi = {キヨス, マサカツ and タムラ, モトノリ}
}