scholarly journals The Combinatorics of Category O over symmetrizable Kac-Moody Algebras

2006 ◽  
Vol 11 (1) ◽  
pp. 29-49 ◽  
Author(s):  
Peter Fiebig
Keyword(s):  
Category O

scholarly journals Ozsváth-Szabó bordered algebras and subquotients of category O

2021 ◽  
Vol 376 ◽  
pp. 107455
Author(s):  
Aaron D. Lauda ◽  
Andrew Manion
Keyword(s):  
Category O

scholarly journals Category O: gradings and translation functors

2003 ◽  
Vol 268 (1) ◽  
pp. 301-326 ◽  
Author(s):  
Catharina Stroppel
Keyword(s):  
Category O

scholarly journals KLASIFIKASI TEKS MENGGUNAKAN CHI SQUARE FEATURE SELECTION UNTUK MENENTUKAN KOMIK BERDASARKAN PERIODE, MATERI DAN FISIKDENGAN ALGORITMA NAIVEBAYES

Compiler ◽  
2016 ◽  
Vol 5 (2) ◽  
Author(s):  
Siti Anisah ◽  
Anton Setiawan Honggowibowo ◽  
Asih Pujiastuti
Keyword(s):  
Feature Selection ◽  
Error Rate ◽  
Classification System ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Chi Square ◽  
Oracle Database ◽  
Category O ◽  
The Difference ◽  
Bayes Algorithm

A comic has its own characteristics compared the other types of books. The difference between comic and other books can be seen from the category o f period, material and physical. Comicand other booksneeded an application o f classification system. Looking for the problem, classification system was made using Chi Square Feature Selection and Naive Bayes algorithm to determine the comic based on the period, material and physical. Delphi programming language and Oracle Database are used to build the Classification System. Chi Square Feature Selection acquired trait a comic is in 0.10347 and which not comic is in 1.9531. Furthermore, data is classified by the Naive Bayes algorithm. From 120 titles o f comic that consists 60 titles o f comic and non comicused to build classesfor trainand 60 titles o f comic and non comic used to test. The results o f Naive Bayesalgorithm for comic is 96,67%with 3.33% error rate, and non comic is 90% with 10% error rate. The classification to determine comic is good.

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