Currencies Analysis Based on Stability: Using Apriori-Algorithm
نویسندگان
چکیده
منابع مشابه
rodbar dam slope stability analysis using neural networks
در این تحقیق شبکه عصبی مصنوعی برای پیش بینی مقادیر ضریب اطمینان و فاکتور ایمنی بحرانی سدهای خاکی ناهمگن ضمن در نظر گرفتن تاثیر نیروی اینرسی زلزله ارائه شده است. ورودی های مدل شامل ارتفاع سد و زاویه شیب بالا دست، ضریب زلزله، ارتفاع آب، پارامترهای مقاومتی هسته و پوسته و خروجی های آن شامل ضریب اطمینان می شود. مهمترین پارامتر مورد نظر در تحلیل پایداری شیب، بدست آوردن فاکتور ایمنی است. در این تحقیق ...
A Developed Algorithm of Apriori Based on Association Analysis
Based on association analysis , an improved algorithm of Apriori is presented in the paper. The main idea of the algorithm are: (1) Count the probability of each attribute item(A1 , A2,...Am) of a DB by scanning the DB first time; (2)The probability of any two items Ak and Am appeared synchronously in one record is Pkm. min( Pk , Pm )≤Pkm ≤Pk *Pm , if Ak and Am is total correlation, then the Pk...
متن کاملProtocol Identification System Based on Apriori Algorithm
This paper presents a set of programme to extract the application-layer protocol features. Based on frequent itemsets mining, the program automatically extracts four most common features of a protocol: characteristic string, session tag, packet length, and packet order. It is experimentally demonstrated that this progran can significantly improve the efficiency of feature extraction, and can be...
متن کاملReview on Matrix Based Efficient Apriori Algorithm
www.ijitam.org Abstract These Apriori Algorithm is one of the wellknown and most widely used algorithm in the field of data mining. Apriori algorithm is association rule mining algorithm which is used to find frequent itemsets from the transactions in the database. The association rules are then generated from these frequent itemsets. The frequent itemset mining algorithms discover the frequent...
متن کاملEducational Evaluation Based on Apriori-Gen Algorithm
The issue of educational evaluation has long been a research hotspot. Using big data analysis method to conduct educational evaluation can improve the pertinence and effectiveness of education. Conventional Apriori algorithm has certain limitations in the application of educational evaluation. This paper introduces an improved Apriori-Gen algorithm and describes its application in evaluation of...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Business and Management
سال: 2010
ISSN: 1833-8119,1833-3850
DOI: 10.5539/ijbm.v5n5p57