Spam Classification Techniques
About book : Email classification is improved by using an effective classification technique that alleviates the issue of email classification and enhances its effectiveness. Text classification and multi-class classifiers are used to classify the classes, which are then tested using a data mining tool for accuracy. This book discusses different types of email spam classifications. Email text messages must be classified effectively in order to alleviate this problem. In this book, the goal is to improve the accuracy of email classification. We observe that the multi-objective function based on the email classification is more accurate than a single objective function.
About author : Dr.B.Bala Krishnudu, working as a Lecturer, Department of Computer Application, Govt.College(A), Ananatapuramu Andhrapradesh. He has around 16 years of experience . He got honored and awarded his Ph.D., in Computer Science and Technology by Sri Krishna Devaraya University, Anantapur. He completed hi MCA in the year 2004. He published his research in various journals, attended workshops, national, international conferences as well. he got the university fourth rank in under graduate in 2001. He has a good knowledge at programmer primarily in C, Object Oriented Programming languages like CPP,Java and Python. He has been teaching subjects Data Structures, Data Base Managements System(DBMS), Visual Basic, Web Technologies, Data Science, SPSS, Big data Analytics Using R language. His Interested research's are Data Mining, Data Science, Machine Language & Artificial Intelligence. Prof. V.Raghunatha Reddy, currently working as Professor, Department of Computer Science and Technology by Sri Krishna Devaraya University, Anantapuramu, Andhrapradesh. He pursued his Ph.D from Computer Science and Technology by Sri Krishna Devaraya University, Anantapuramu. He has hands on experience and skill in developing curriculum to accommodate different learning styles and maximizing students compression. He has recognized for outstanding organization skills, creativity, public relations and an ability to consistently exceed expectation. He has been published and presented research and technical papers in reputed international and national journals, and conferences. He is a highly motivated leader with strong communication and people management skills. He has been teaching and subjects Discrete Structures, Java Programming, Computer Networking, Unix Networking Programming & Cloud Computing. His area of Research is Networks, Ad Hoc Networks, Wireless Networks, MANET, Cyber Security, IOT, Cloud Computing And Data Mining.