This document summarizes a survey of recommender systems. It categorizes recommender systems into four main categories: content-based, collaborative filtering, demographic, and hybrid. Content-based systems recommend items similar to what a user liked in the past based on item attributes. Collaborative filtering recommends items that people with similar tastes liked in the past without using item attributes. Demographic systems recommend items commonly liked by users with similar demographic attributes. Hybrid systems combine the approaches. The survey discusses the pros and cons of each approach and proposes using agents and evaluating recommenders to increase trustworthiness. It provides an overview of the state-of-the-art in recommender system methods.

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2. BREAST CANCER DIAGNOSIS USING MACHINE LEARNING ALGORITHMS –A
SURVEY
B.M.Gayathri1
,C.P.Sumathi2
and T.Santhanam3
1
Department of Computer Science, SDNB Vaishnav College for Women, Chennai, India
2
Department of Computer Science, SDNB Vaishnav College for Women, Chennai, India
3
Department of Computer Application, D.G.Vaishnav College for Men, Arumbakkam, Chennai,
India
ABSTRACT
Breast cancer has become a common factor now-a-days. Despite the fact, not all general
hospitals have the facilities to diagnose breast cancer through mammograms. Waiting for
diagnosing a breast cancer for a long time may increase the possibility of the cancer spreading.
Therefore a computerized breast cancer diagnosis has been developed to reduce the time taken to
diagnose the breast cancer and reduce the death rate. This paper summarizes the survey on breast
cancer diagnosis using various machine learning algorithms and methods, which are used to
improve the accuracy of predicting cancer. This survey can also help us to know about number
of papers that are implemented to diagnose the breast cancer.
KEYWORDS
Neural networks, SVM, RVM, ELM
For More Details : http://airccse.org/journal/ijdps/papers/4313ijdps09.pdf
Volume Link : http://airccse.org/journal/ijdps/current2013.html

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5. BLUETOOTH SECURITY THREATS AND SOLUTIONS: A SURVEY
Nateq Be-Nazir Ibn Minar1
and Mohammed Tarique2
1
Department of Electrical and Electronic Engineering, American International University,
Bangladesh
2
Department of Electronic and Communication, Ajman University of Science and Technology,
United Arab Emirates
ABSTRACT
Bluetooth technology has become an integral part of this modern society. The availability of
mobile phones, game controllers, Personal Digital Assistant (PDA) and personal computers has
made Bluetooth a popular technology for short range wireless communication. However, as the
Bluetooth technology becomes widespread, vulnerabilities in its security protocols are increasing
which can be potentially dangerous to the privacy of a user’s personal information. The security
issues of Bluetooth have been an active area of research for the last few years. This paper
presents the vulnerabilities in the security protocols of this technology along with some past
security threats and possible countermeasures as reported in the literatures which have been
surveyed and summarized in this paper. It also presents some tips that end-users can implement
immediately to become more cautious about their private information. Finally, the paper
concludes with some recommendations for future security enhancements that can be
implemented in the Bluetooth standard.
KEYWORDS
Bluetooth, encryption, security protocols, security threats, countermeasures, Bluetooth
enhancements
For More Details : http://airccse.org/journal/ijdps/papers/0112ijdps10.pdf
Volume Link : http://airccse.org/journal/ijdps/current2012.html

6. REFERENCES
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8. AUTHORS
Nateq Be-Nazir Ibn Minar is a Research Scientist currently rendering
his expertise independently to institutions and manufacturing industries.
He obtained his Bachelor of Science degree in Electrical and Electronics
Engineering, with a special interest in Robotics and Industrial
Automation, from American International University - Bangladesh in
2008 and later obtained his Master of Science degree, in
Telecommunication Engineering, focusing on Wireless Networks. His
research interests include satellite communications, network security,
low-powered wireless devices, industrial automation, robotics and green technology. He is the
CEO of EcoWave – a company dedicated to produce green electronic products for the benefit of
the environment. He is an active member of IEEE and does volunteer work for several societies.
Mohammed Tarique is an Assistant Professor in the Department of
Electronic and Communication, Ajman University of Science and
Technology, in United Arab Emirates. H is research interests include
Adhoc Networks and wireless network security, network testing and
simulations. His research primarily focuses on the design of Wireless
Adhoc Networks.

9. A CATEGORICAL REVIEW OF RECOMMENDER SYSTEMS
RVVSV Prasad1
and V Valli Kumari2
1
Department of Computer Science & Engineering, Bhimavaram Institute of Engineering &
Technology, Bhimavaram – 534243, India
2
Department. Of Computer Science & Systems Engineering, AU College of Engineering, Andhra
University, Vishakapatnam – 533003, India
ABSTRACT
As more and more information became available electronically, the need for effective
information retrieval and implementation of filtering tools have became essential for easy access
of relevant information. Recommender Systems (RS) are software tools and techniques
providing suggestions for items and/or services to be of use to a user. These systems are
achieving widespread success in ecommerce applications now a days, with the advent of internet.
This paper presents a categorical review of the field of recommender systems and describes the
state-of-the-art of the recommendation methods that are usually classified into four categories:
Content based Collaborative, Demographic and Hybrid systems. This paper discusses the pro’s
and con’s of the current categories as well as the trustworthiness of the recommender system in a
new dimension as evaluating the evaluator for more appropriate recommendations. In the domain
of recommender system, this work also put forward the use of agents as an enabling technology.
KEYWORDS
Collaboration, Demography, Information Filtering, Recommender System, Agent, Trust
For More Details : http://airccse.org/journal/ijdps/papers/3512ijdps07.pdf
Volume Link : http://airccse.org/journal/ijdps/current2012.html

10. REFERENCES
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11. ICDCIT 2008, LNCS 5375, pp. 188-195,2008.
AUTHORS
RVVSV Prasad received his Masters degree in computer applications from
Madurai Kamara j University and Master of Philosophy in Computer
Science from Alagappa University. He is currently doctoral candidate in the
Department of Computer Science & Engineering, Acharya Nagarjuna
University, Nagarjuna Nagar, Guntur, India. He is working as Associate
Professor in the Department of Computer Science & Engineering,
Bhimavaram Institute of Engineering and Technology, Pennada,
Bhimavaram, India. His research interests include recommender systems, security, privacy and
trust in mobile agents and P2P networks.
V.Valli Kumari received her B.E. in Electronics and Communication
Engineering and M.Tech. and PhD in Computer Science and Engineering all
from Andhra University, India and is currently working as Professor in the
same department. . She was awarded a gold medal for best research in 2008
in Andhra University. Her areas of research interest include Web, Data
Engineering, Network Security, e-commerce and has 70 publications in
conferences /journals of international and national repute. She is a member
of IEEE, ACM, CRSI and CSI.