چکیده مقاله
Data mining is the process of discovering valid, new, useful and understandablepatterns It can be said that data mining is a process in which data analysis toolsseek to discover patterns and relationships between existing data that may lead tothe extraction of new information from the database Two examples of sequentialpattern are: 80% of customers who They buy TVs, they buy cameras on the sameday Every time Microsoft shares fall 5%, IBM shares fall 4% in three days Thefirst model helps us to manage the store shelf well, and the second model helps thecompany to function properly in the economic crisis In this research, we firstreviewed the pattern extraction algorithms and examined them based on thehistorical order in which the algorithms were presented These algorithms aredivided into two categories based on Apriori and FP Growth Then we introducedthe two proposed algorithms GoKrimp and SeqKrimp using the principle of minimumminimum description length, ie useful patterns that compress the database themost Then we introduced our proposed method and named it newKrimp andviewed the results on a standard database
کلیدواژهها
نویسندگان
Shaghayegh Abeshli
Bachelor of Electrical and Electronics
شیوه ارجاع
Abeshli, Shaghayegh,1400,Introducing a new algorithm for sequential sequences to compress them in the exploration process,8th National Congress of Electrical and Computer Engineering of Iran,Tehran
ارائهشده در
مجموعه مقالات هشتمین کنگره ملی تازه های مهندسی برق و کامپیوتر ایران28 بهمن 1400 · تهران