Decision Tree Algorithm Based University Graduate Employment Trend Prediction
نویسندگان
چکیده
منابع مشابه
A Genetic Algorithm Optimized Decision Tree- SVM based Stock Market Trend Prediction System
Prediction of stock market trends has been an area of great interest both to researchers attempting to uncover the information hidden in the stock market data and for those who wish to profit by trading stocks. The extremely nonlinear nature of the stock market data makes it very difficult to design a system that can predict the future direction of the stock market with sufficient accuracy. Thi...
متن کاملCUDT: A CUDA Based Decision Tree Algorithm
Decision tree is one of the famous classification methods in data mining. Many researches have been proposed, which were focusing on improving the performance of decision tree. However, those algorithms are developed and run on traditional distributed systems. Obviously the latency could not be improved while processing huge data generated by ubiquitous sensing node in the era without new techn...
متن کاملDecision Tree Based Algorithm for Intrusion Detection
Kajal Rai Research Scholar, Department of Computer Science and Applications, Panjab University, Chandigarh, India Email: [email protected] M. Syamala Devi Professor, Department of Computer Science and Applications, Panjab University, Chandigarh, India Email: [email protected] Ajay Guleria System Manager, Computer Center, Panjab University, Chandigarh, India Email: [email protected] -------------------...
متن کاملHigher Education Outcomes, Graduate Employment and University Performance Indicators
Official employment-related Performance Indicators in UK Higher Education are based on the population of students responding to the First Destination Supplement (FDS). This generates potentially biased performance indicators as this population of students is not necessarily representative of the full population of leavers from each institution. University leavers not obtaining qualifications an...
متن کاملPrediction of prostate cancer using decision tree algorithm
Results: The analysis indicated that following five nodes had different levels of cancer possibility: (1) PSA > 5.98 ng/mL; (2) PSA ≤ 5.98 ng/mL and Digital Rectal Examination (DRE) is suspicious or positive; (3) PSA ≤5 .98 ng/mL and DRE is negative and free PSA > 0.81; (4) PSA ≤ 5.98 ng/mL and DRE is negative and free PSA ≤ 0.81 and age ≤ 57 years; (5) PSA ≤ 5.98 ng/mL and DRE is negative and ...
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: Informatica
سال: 2019
ISSN: 1854-3871,0350-5596
DOI: 10.31449/inf.v43i4.3008