A Generalized Data mining Framework for Placement Chance Prediction Problems
نویسندگان
چکیده
منابع مشابه
A Generalized Data mining Framework for Placement Chance Prediction Problems
Data Mining is such a promising technology whose worth becomes evident when it can be applied to a domain where a common man is benefited. This paper is an attempt to help the prospective students to make wise career decisions using technologies like data mining using decision trees, Naïve Bayes and artificial neural networks. A student enters his Entrance Rank, Gender (M/F), Sector (rural/urba...
متن کاملA Generalized Framework for Chance-constrained Optimal Power Flow
Deregulated energy markets, demand forecasting, and the continuously increasing share of renewable energy sources call—among others—for a structured consideration of uncertainties in optimal power flow problems. The main challenge is to guarantee power balance while maintaining economic and secure operation. In the presence of Gaussian uncertainties affine feedback policies are known to be viab...
متن کاملA generalized Framework of Privacy Preservation in Distributed Data mining for Unstructured Data Environment
The management of unstructured data is recognized as one of the major unsolved problems in the information industry and data mining paradigm. Unstructured data in computerized information that either does not have a data model and there are not easily usable by data mining. This paper proposes a solution to this problem by managing unstructured data in to structured data using legacy system and...
متن کاملPrediction of Student Learning Styles using Data Mining Techniques
This paper focuses on the prediction of student learning styles using data mining techniques within their institutions. This prediction was aimed at finding out how different learning styles are achieved within learning environments which are specifically influenced by already existing factors. These learning styles, have been affected by different factors that are mainly engraved and found wit...
متن کاملAlert correlation and prediction using data mining and HMM
Intrusion Detection Systems (IDSs) are security tools widely used in computer networks. While they seem to be promising technologies, they pose some serious drawbacks: When utilized in large and high traffic networks, IDSs generate high volumes of low-level alerts which are hardly manageable. Accordingly, there emerged a recent track of security research, focused on alert correlation, which ext...
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 Computer Applications
سال: 2011
ISSN: 0975-8887
DOI: 10.5120/3807-5257