The Design and Research on Management Classification of College Textbooks

DOI

10.2991/essaeme-15.2015.126How to use a DOI?

Keywords

College textbooks, classification, system, self-adaptive learning algorithm

Abstract

This paper proposes a method that uses the inter-category and intra-category distribution variance of feature words to describe inter-class and intra-class distribution of feature words, uses the inter-category and intra-category distribution variance of feature words to amend TFIDF value of entries, establishes a booklist hierarchical classification system model based on machine learning facing to Chinese Library Classification, puts forward the design thought constructed by shallow hierarchical classification system, and verifies feasibility and rationality of the model by using a large-scale experiment. The experiment proves that features extracted from the improved TFIDF method are correct and feasible to use for KNN classification

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Genlian Zhang
PY  - 2015/10
DA  - 2015/10
TI  - The Design and Research on Management Classification of College Textbooks
BT  - Proceedings of the 2015 International Conference on Economics, Social Science, Arts, Education and Management Engineering
PB  - Atlantis Press
SP  - 587
EP  - 593
SN  - 2352-5398
UR  - https://doi.org/10.2991/essaeme-15.2015.126
DO  - 10.2991/essaeme-15.2015.126
ID  - Zhang2015/10
ER  -