Association Rules

Color, texture and shape of an image have been primitive image descriptors in Content Based Image Retrieval (CBIR) system. Primitive features of an image are used to identify and retrieve closely matched images from an image database. It is very difficult to extract images manually from image database because they are very large. Mining useful content from image collections is very much an interdisciplinary endeavor that draws upon expertise in computer vision, image understanding, data mining, machine learning, databases, distributed/parallel computing, software design, and artificial

In order to counter this, organizations and businesses can utilize firewalls, proxy servers, and any other useful security software. Another threat to availability may arise from bottlenecks due to inadequate communication bandwidth to handle increases in traffic. Natural disasters such as fires, floods or even earthquakes can cause interruptions or even loss of data. For the system to be reliable and dependable it should have redundancies, power and data backups, and frequent hardware maintenance to make sure that everything is working at optimal capacity (Marian, 2007). Moreover, the communication bandwidths should be expanded to accommodate reasonable surges in data

Abstract Background: Methicillin-resistant Staphylococcus aureus (MRSA) remains a major cause of nosocomial infections worldwide. This study aimed to explore the molecular evidence for MRSA transmission between staff and hospitalized patients in the critical care units of university hospital. Material and methods: Nasal swabs were collected from 133 and 120 personnel and patients in اسم یونیتها؟high risk units such as …, respectively. All presumptive MRSA colonies were confirmed based on conventional biochemical assays and presence of mecA gene. The antimicrobial susceptibility test was performed by E-test and Kirby–Bauer disc diffusion method.

Having the CronBach’s Alpha up to the required level, the analysis has been done according to the methodology. 4.3 Descriptive statistics. In this research descriptive statistics has been used to describe, show and summarize raw data in a meaningful way. Descriptive statistics are very crucial since presenting raw data are hard to visualize. In this study the author has used different type of methods to summarize data such as tabulated description (tables) and statistical commentary (discussion of the results).

As mentioned by Ingram, CTE is generally considered “coherent”. He argues that it is most often used to measure risk over multi-year time frames that are needed to view risk. With the computing power in modern technologies, the capability to measure long-term risk makes CTE a more desirable metrics in risk management. The CTE metric reflect the outcomes in tail events, so that one can understand the impact when such events occur. Its primary benefit over the VaR metric is that it considers the complete distribution of scenarios that can occur within the tail.

(2008), simple tasks are easily coordinated by mutual adjustment, but when work becomes more complex, direct supervision is needed and becomes the basic means of coordination. When things get even more complicated, standardization of work processes (or outputs) becomes the basic mechanism, in combination with the other two. Finally, when things become really complex, mutual adjustment tends to become the basic mechanism again, but in combination with the others (Figure 2). Different tasks are responsible for the different mechanisms. Mutual adjustment and direct supervision can be “categorized as coordinating by feedback” because coordination is transformed according to how people observe the effects of their own and others’ actions (Smite et al.

the database provides the ease of accessing and maintaining data easily. Advantages of RDBMS: 1. Prevents Data redundancy: In relational database management systems the tables with the specific data have relation among them that’s why the required data is taken from the previous tables which prevents the data redundancy. 2. Data security: In a relational database management system the data access is privileged which means that the database administrator has the authority of giving access of data to some particular users which makes the data secure.

A. Group Assignment a. Discuss the two data mining methodologies The process of going through massive sets of data looking out for unsuspected patterns which can provide us with advantageous information is known as data mining. With data mining, it is more than possible or helping us predict future events or even group populations of people into similar characteristics. Cross Industry Standard Process for Data Mining (CRISP-DM) is a 6-phase model of the entire data mining process which is commonly used across industries for a wide array of data mining projects and provides a structured approach to planning a data mining project.

How it works: • In Predective Analytics, predictive models use known results to develop or train a model that can be used to predict values for different or new data. This modeling provides results in the form of predictions that represent a probability of the target variable based on estimated importance from a set of input variables. • Statistics summarizes the data for public use. There are two main statistical methods: Descriptive Statistics and Inferential

This is the major problem of opinion mining but the results are more accurate as the data is more authentic. There are three classification techniques used for solving this purpose i.e. Naïve Bayes classification, Support Vector Machine and Maximum Entropy. In Naive Bayes, models that assign class label to problem instances, represented as vectors of feature values, where the class labels are drawn from some finite set. Whereas Support Vector Machine(SVM) is a machine learning tool that is based on the idea of large margin data classification and Maximum Entropy is rooted in information theory, the mem seeks to extract as much information from a measurement as is justified by the data's signal-to-noise