International Journal of Advanced Computer Science and Information Technology

10

Authors: Javad Hosseinkhani , Mohammad Koochakzaei , Solmaz Keikhaee , Javid Hosseinkhani Naniz

Along with the rapid popularity of the Internet, crime information on the web is becoming increasingly rampant, and the majority of them are in the form of text. Because a lot of crime information in documents is described through events, event-based semantic technology can be used to study the patterns and trends of web-oriented crimes. The purpose of this paper is to provide a review to mining useful information by means of Data Mining. The procedure of extracting knowledge and information from large set of data is data mining that applying artificial intelligence method to find unseen relationships of data. There is more study on data mining applications that attracted more researcher attention and one of the crucial field is criminology that applying in data mining which is utilized for identifying crime characteristics. Detecting and exploring crimes and investigating their relationship with criminals are involved in the analyzing crime process. Criminology is a suitable field for using data mining techniques that shows the high volume and the complexity of relationships between crime datasets. Therefore, for further analysis development, the identifying crime characteristic will be the first step and obtained knowledge from data mining approaches is a very useful tool to help and support police forces. This research aims to provide a review to extract useful information by means of Data Mining, in order to find crime hot spots out and predict crime trends for them using crime data mining techniques.

31

Authors: Tadas Limba , Gintarė Gulevičiūtė

The systematic, comparative analysis of the models of electronic government services carried out in the scientific work and the assessment of opportunities of their application in the self-government level makes the topic a novelty. With the help of the method of comparative analysis the models of electronic government services have been assessed and there has been distinguished the total of six. Two of them being the main common models of electronic government services have the features that enable the development of new models of electronic government services that are more targeted at changes taking place in public needs and inside organizational processes signifying the originality. The aim of this work is to develop a Holistic Electronic Government Services Integration Model which could ensure the efficient integration of electronic government services in the local self-government level. The scientific work analyzes the improvement opportunities of the models of electronic government services and their application alternatives in Lithuanian municipalities. In order to evaluate implementation of “Holistic Electronic Government Services Integration Model”, four empirical studies have been conducted, which show the possibility of this model application. The newly developed model of electronic government services that has been designed basing on the principle of integrating online expert consultation is primarily targeted at improvement of inside processes’ changes of an organization. Practicing the application of that model in the local self-government level starting with improvement of inside processes of an organization should help adapt more accurately and efficiently to the changing needs of the society while providing electronic government services, thus establishing a higher public value. The practical novelty of work is reflected not only through the integration opportunities’ assessment of the principle of online expert consultation services into the theoretical models of electronic government services that have already been developed by the scientists, but also on the basis of this principle there has been created a “Holistic Electronic Government Services Integration Model” in accordance with “E-Diamond” model basis and its practical application realization with the design of “The project of implementing the principle of online expert consultation on the model of electronic government services” for the future investigations.

11

Authors: Vikas Chaur , Saurabh Pal

Globally, heart diseases are the number one cause of death. About 80% of deaths occurred in low- and middle income countries. If current trends are allowed to continue, by 2030 an estimated 23.6 million people will die from cardiovascular disease (mainly from heart attacks and strokes). The healthcare industry gathers enormous amounts of heart disease data which, unfortunately, are not “mined” to discover hidden information for effective decision making. The reduction of blood and oxygen supply to the heart leads to heart disease. However, there is a lack of effective analysis tools to discover hidden relationships and trends in data. This research paper intends to provide a survey of current techniques of knowledge discovery in databases using data mining techniques which will be useful for medical practitioners to take effective decision. The objective of this research work is to predict more accurately the presence of heart disease with reduced number of attributes. Originally, thirteen attributes were involved in predicting the heart disease. Thirteen attributes are reduced to 11 attributes. Three classifiers like Naive Bayes, J48 Decision Tree and Bagging algorithm are used to predict the diagnosis of patients with the same accuracy as obtained before the reduction of number of attributes. In our studies 10- fold cross validation method was used to measure the unbiased estimate of these prediction models.

10

Authors: Hossein Moradi Koupaie , Suhaimi Ibrahim , Javad Hosseinkhani

The fundamental and active research problem in a lot of fields is outlier detection. It is involved many applications. A lot of these methods based on distance measure. But for stream data these methods are not efficient. Most of the previous work on outlier detection declares online outlier and these have less accuracy and it may be lead to a wrong decision. moreover the exiting work on outlier detection in data stream declare a point as an outlier/inlier as soon as it arrive due to limited memory resources as compared to the huge data stream, to declare an outlier as it arrive often can lead us to a wrong decision, because of dynamic nature of the incoming data. The aim of this study is to present an algorithm to detect outlier in stream data by clustering method that concentrate to find real outlier in period of time. It is considered some outlier that has received in previous time and find out real outlier in stream data. The accuracy of this method is more than other methods.

12

Authors: Imad Fakhri Al-shaikhli , Mohammad A. Alahmad , Khanssaa Munthir

The National Institute of Standard and Technology (NIST) has suggested different principles for hash functions to avoid the blunders and to choice the ideal quality of hash function, which to be a measurement for the future of hash function generations. Therefore, the goal of the NIST contenders in SHA-3 between the hash functions is to be chosen as the winner in the end of 2012, and the beginning of 2013. Thus, for this reason the paper addresses the comparative and analysis study of the finalist SHA-3 candidates in: complexity of security, design and structure, as well as performance and cost, to measure the robustness of the algorithms in this area, through the Fundamentals Security Measurement Factors of Hash Function (FSMFHF) of Secure Hash Algorithm (SHA). Therefore, main idea from this comparison and analysis study between the finalist of SHA-3 candidates such as (BLAKE, Grostl, JH, Keccak, and Skein) is to investigate the tight security in the suitable designs of lightweight such as JH and Keccak for the future security of hash function. Moreover, they are investigating the high trade-off in (speed/memory) that implemented in Virtex-7 2000T of FPGAs family hardware. Whereas, excluded the rest of hash functions in this finalist, which are not investigated all the measurements of hash function as mentioned above.

12

Authors: Haifa Fahad AL-Zuabi , Imad Fakhri AL-Shaikhli

The purpose of this research was to evaluate the quality of Labor portal. Ministry of Labor focused on over the past years to establish a database of the labor market in the Kingdom of Saudi Arabia. The data includes workers in Saudi private sector, whether Saudis or expatriates where mechanization included all labor of 39-office work in various regions. The governorates of the Kingdom operates IT management to develop this rule to get the information and data related to the labor market quickly and accurately. 7 experts evaluated the quality portal of Saudi Arabia Ministry of Labor using self-developed instrument containing eight factors from the literature review on 5-likert scale. The result of the study shows that, the Labor portal quality is fairly good by 78.2% and it needs further improvement and development by 21.8%.Suggestions were made to the Saudi government,particularly, the Saudi Ministry of labor that, there is a need to further test the portal empirically based on the experts’ evaluation.