INTRODUCTION Data mining extracts hidden and useful information from the data. Valid, previously unknown, useful and high quality knowledge is discovered by data mining. Outlier detection is an important task in data mining. Outlier detection has many important applications and deserves more attention from data mining community. Outlier detection is an important branch in data pre-processing and data mining, as this stage is required in elaboration and mining of data coming from many application fields such as industrial processes, transportation, ecology, public safety, climatology.
Linda Lalicata Week six summaries Liu, O.L., Mao, L., Frankel, L., & Xu, J. (2016). Assessing critical thinking in higher education: The HEIghten approach and preliminary validity evidence. Assessment and Evaluation in Higher Education, 41(5), 677-694. Doi.org/10.1080/02602938.2016.1168358
Students Justifying Their Mathematical Thinking No matter what subject you teach or no matter how you teach it, it is fair to say that teachers want the best possible outcomes for their students. There are no set guidelines on how to teach or no step by step structure which guarantees student understanding. However, there are methods of teaching which work better than others and it is our responsibility, as teachers, to research and apply these successful methods in our classrooms. One such method is the practice of getting students to justify their thinking and their approaches to mathematical problem solving. At first thought, this may seem like an easy approach and one which can be implemented straight away.
Data mining is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data preprocessing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. B.2 Introduction The growing popularity and development of data mining technologies bring serious threat to the security of individual's
It also helps in performing forensic analysis on networks and computer systems and make recommendations for remediation. Implementation involves application, maintaining and analyzing results from intrusion detection systems, intrusion prevention system, network mapping software and other tools that can be used to protect, detect and correct information security-related vulnerabilities and laws. Implementation can also be said to provide audit data to appropriate law enforcement or other investigation agencies to include corporate security elements. The implementation also involves coordinate dissemination of forensic analysis findings to appropriate
Quantitative Research Methods – Prof. Cheung Shu Fai Critical Review 1 Dorji Wangchuk - yb67301 Rationale This is a critical review of the article, A Comparison of Student Achievement and Satisfaction in an Online Versus a Traditional Face-to-Face Statistics Class by Jessica J. Summers, Alexander Waigandt and Tiffany A. Whittaker (2005). I chose this paper as I am currently helping the Department of Communication in designing an online module for undergraduate studies. Our concern is how best to deliver the course using the best technology and techniques available.
Database security concerns the use of a broad range of information security controls to protect databases (potentially including the data, the database applications or stored functions, the database systems, the database servers and the associated network links) against compromises of their confidentiality, integrity and availability. It involves various types or categories of controls, such as technical, procedural/administrative and physical. Database security is a specialist topic within the broader realms of computer security, information security and risk management. Security risks to database systems include, for example: Unauthorized or unintended activity or misuse by authorized database users, database administrators, or network/systems managers, or by unauthorized users or hackers (e.g. inappropriate access to sensitive data, metadata or functions within databases, or inappropriate changes to the database programs, structures or security configurations); Malware infections causing incidents such as unauthorized access, leakage or disclosure of personal or proprietary
Emily Moore 7 June 2015 Unit 1 Midterm Exam Learning and Cognition Dr. Colleen Lindecker PSYC511 Unit 1 Exam: Cognitive Psychology Student Name: Emily Moore Student ID: 4664933 Date of Completion: 6/8/15 Chapter 1 Chp. 1 #1: What is cognitive psychology? Cognitive Psychology can be loosely defined as a branch of psychology that focuses on internal mental processes and the storage and organization of information in an attempt to understand, discover the cause, and explain the overall function of the mind and knowledge (Solso, Maclin, & Maclin, 2008 p. 2). Aside from any of the more precise definitions of this branch of psychology, cognitive psychology is well known as simply the study of the mind; and although this description
A Content Analysis of Syllabi. " School Psychology Review, vol. 44, no. 3, July 2015, p. 271. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=f5h&AN=110871989&site=ehost-live.
CHALLENGES OF PROLIFERATION BIOMETRIC TECHNOLOGY Despite the numerous benefits of deployment of biometric technology to identification systems, it major disadvantage is that it is prone to vulnerabilities attacks either at the user interface or between modules or on the database template. Some of these attacks (Anthony & Mary, 2011)are highlighted as follow: Replay attacks Spoofing Tampering Substitution attacks Trojan Horse attacks Overriding yes/no Masquerade attack
Metasploit’s exploit modules allow for privilege escalation (obtaining root or admin access) and SMB related attacks. For example, when testing client-side exploits at the Police Department, the exploits may fail due to their having limited user rights, requiring a tweak to the exploit module or payload. Another key feature of Metasploit is its meterpreter script, ‘getsystem‘, that will use a number of different techniques to attempt to gain SYSTEM level privileges on the target. This will assist the Police Department in closing privilege escalation attacks, which appear to have occurred in the
J. What is controlled choice? Retrieved October 02, 2016, from http://www.wral.com/asset/news/education/2010/07/27/8044241/controlledchoice.pdf Antonio, A. L., Chang, M. J., Hakuta, K., Kenny, D. A., Levin, S., & Milem, J. F. (2004). Effects of Racial Diversity on Complex Thinking in College Students. Psychological Science, 15(8), 507-510. doi:10.1111/j.0956-7976.2004.00710.x
This paper will illustrate how Hennepin County (HC) utilize monitor and maintain EHR records for the following business lines hospital, outpatient clinics, health, social and human service. Data sharing of EHR has allowed the organization to successfully provide care coordination for the population we serve. As healthcare evolves and service delivery continues to influence healthcare, it is essential that each business lines work together and collaborate to effectively access EHR within the Epic system. EHR systems, data bases, web portals are critical for a healthcare provider remain compliant with federal regulations. I am an HC employee, and my organization is unique, because we own and operate Hennepin County Medical Center (HCMC) and