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Classification Using Naive Bayes and Decision Tree on Food Addiction

In food consumption, food addiction is behavioral and biological overlaps have been observed between eating and addictive disorders. Food addiction influence to healthy life. Food addiction caused by overeating, bingo eating, eating disorder, eating addiction, mindless eating, craving, chocaholic, and emotional eating. Determination between addiction and normal condition in food consumption, need to classification. Classification is very important in determine signs of food addiction. Classification using Naïve Bayes Algorithm and Decision Tree Algorithm. Class target is Class Normal and Class Addiction. Classification using Naïve Bayes Algorithm by criterion is Calorie Dense Food, Fatty Food, Sweet Food, Diet and Stress. This criterion as causal factor of food addiction. Classification using Decision Tree Algorithm by criterion is Stress, Fatty Food and Calorie Dense Food. This criterion as causal factor of food addiction. The experimental result is a Classification Model. This model became data source for national policy in public health.

Terminology Services and the DDC: the High-Level Thesaurus and Beyond

The presentation discusses emerging services for providing controlled terminologies and interoperability between them, the role of the High-Level Thesaurus (HILT) project, and the application of Semantic Web technologies. HILT uses the Dewey Decimal Classification (DDC) as a terminology mapping spine or switching language between different monolingual (English) subject vocabularies. Pilot services offered by HILT include disambiguation of terms suggested by end-users, spell-checking of user terms, improving the precision of item-level subject searching by suggesting appropriate terms, and selecting catalogues for searching where the collection has subject strengths matching the user's search strategy. Examples from the Scottish Collections Network (SCONE) and the Intute service are given.

Mapping Two Classification Schemes - DDC and SAB

DDC 20 Workbook

Dewey Decimal Classification (DDC 20)

Practical Approach to DDC: Dewey Decimal Classification Made Easy

The Use of the DDC at the Swiss National Library

Klasifikasi bahan pustaka tentang Indonesia menurut DDC

Classification of topics pertaining to Indonesia according to DDC.

Panduan Klasifikasi Menggunakan DDC EDISI 20

Daftar tajuk subyek Islam dan sistem klasifikasi Islam

Subject headings and classification outline on Islamic terms used by Indonesian libraries.

Daftar tajuk subyek untuk perpustakaan

Daftar tajuk subjek Perpustakaan Nasional

Abu Nasr Muhammad ibn Muhammad al-Farabi. Ihsa' al-'ulum and De ortu scientiarum