Читать книгу Data Mining and Machine Learning Applications - Группа авторов - Страница 32

Subsequent instance processing is a data mining topic concerned with finding factually applicable examples between information models that express the attributes in a series [9]. Finding consecutive examples from a huge information base of successions is a significant issue in the field of information revelation and information mining [10]. The issue is to find aftereffects, among a lot of information successions, that is continuous where the arrangements containing them has a higher help than a client determined the least help [11]. Typically, arrangement designs are related to various conditions, and such conditions structure a numerous dimensional space. It is fascinating and valuable to successive mine examples related to multidimensional data [12].