discussion reply 37

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discussion 1

Data Mining is the process of discovering interesting knowledge from large amounts of data stored either in databases, data warehouses or other information repositories. There are various data mining functionalities and each of these can be applied in order to improve the company’s search engine.

1. Clustering – is the process of grouping a set of physical or abstract objects into classes of similar objects. The objects are grouped based on the principle of increasing intraclass similarity and decreasing interclass similarity. In the context of a search engine, clustering can help to display the results that not only contain the keyword specified in the “search” box but also related results.

For example. On entering ‘paintbrush’ in the search box, the search engine should not only display the results with keyword ‘paint’ but can also display the ones with keywords ‘canvas’ or ‘paint’ or ’easel’.

2. Classification – is the process of finding a set of functions that describe and distinguish data classes or concepts, And using this function to predict the class of object whose class label is unknown. Classification analyzes class-labeled data objects whereas clustering analyzes data objects without consulting a known class label. This is more of an internal implementation.

For example: A list of research papers associated with a keyword could be provided by the search engine. This is done by using either classification rules or decision tree or any other classification algorithms on a set of data whose list of research papers are known and then applying that function to the keyword.

3. Association rule mining – is the discovery of association rules showing attribute-value conditions that occur frequently together in a given set of data. A search engine could append additional information in its result based on the keywords entered by the user.

For example. A user searching the web to buy a large screen TV might also be interested in a new home theatre system. Returning results for both TV and the home theatre system could keep the search engine one step ahead of the user.

4. Anomaly detection – Anomalies are the data objects that do not conform to the general behavior of the data. The analysis of anomalies is known as anomaly detection. In cases such as fraud detection, an anomaly is more important than the rest of the data. A search engine can use anomaly detection to avoid displaying results that are not relevant to the searched keyword.

For example: a user might search for ‘heart attack’, anomaly detection would not allow ‘attack on china’, which is irrelevant to the searched topic, and is an outlier in this context, to be displayed.

Reference: Data mining – Concepts and techniques by Micheline Kamber and Jiawei Han.

discussion 2

Introduction

Data mining is a subfield of computer science that involves the analysis of massive databases to identify insightful information hence drawing essential patterns. Internet search engine companies require data mining techniques to automate data analysis and knowledge discovery process. Data mining can help such companies in many ways as discussed below;

First, the company can use the data mining techniques in analyzing the complex web pages. Unlike text data, web pages contain complex data that need automated tools to help review the information. Secondly, the company can employ the science in dealing with high quantity dynamic data which continually changes over time (Cooley, Mobasher & Srivastava, 2016). Thirdly, data mining tools can enable the company to discover consumer preferences hence providing services that are relevant to the users.

Association rule mining is a data mining task that identifies frequent patterns, and correlations among various data sets or items of study. The Company should use association rule mining to analyze the consumers’ internet usage behavior and discover suitable relationships between various attributes (Arora & Bhalla, 2014). For instance, the company can determine the specific related information that consumers search for under different circumstances. For example, when the company determines what other information a user may want after searching for lets’ say “windows”, it will significantly help since the company will provide the information instantly hence improving user experience.

Anomaly detection involves the identification of errors and other data sets that are less useful. Anomaly detection is vital during data mining since not every information collected is relevant. This is because of the complexity of web data. Thus, the data mining expert has to clean and identify the essential sets of data. Also, the data collected may be about different users (Cooley, Mobasher & Srivastava, 2016). There is a need to analyze, clean and group the information according to the miner’s specific needs.

Conclusion

Internet search engine companies must adopt the data mining science during the knowledge discovery process. The integration of artificial intelligence, machine learning and other disciplines in data analysis can improve the knowledge discovery phase thus improving the entire process. Companies should, therefore, use this tools to identify the patterns and after that implement the various changes to enhance customer satisfaction and user experience.

References

Arora, P., & Bhalla, T. (2014). A synonym based approach of data mining in search engine optimization. arXiv preprint arXiv:1407.1133.

Cooley, R., Mobasher, B., & Srivastava, J. (2016). Web mining: Information and pattern discovery on the world wide web. In Tools with Artificial Intelligence, 1997. Proceedings., Ninth IEEE International Conference on (pp. 558-567). IEEE.

 

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An Integrated Approach of Physical Biometric Authentication System

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Per  Fennelly (2017), every human being is created differently with physical  and behavioral traits that are unique; and everyone’s fingerprints,  iris, facial feature and body types are entirely different from one  another. The effective and efficient use of biometric technology will  play a key role in automating a new method of identifying living person  based on individual physiological and behavioral characteristics. Protecting  sensitive information from vulnerable access by unauthorized users is  paramount in our digital world and attempting to identify and mitigating  such operation is becoming very challenging and troubling to the entire  human society.  
Biometric  authentication-based identity is playing a vital role in security  operations. Traditional authentication approach used to identity logon,  logout, username, passwords are no longer enough to battle the identity  and security crisis.  Physical  Biometric processes often allow the authentication of an individual  personal data to be stored in a document format for future references.  The comparison is often used to determine whether the biometric  characteristics of individual match the previously information recorded  in the document. Physical biometric systems have proven to be very  effective in verification and identification processes.  
Physical  biometric identification and recognition processes are classified in  three groupings including acquisition, feature extraction and  comparison. Traditionally, biometric characteristics are acquired  through measurements, such as a camera, microphone, fingerprint scanner,  gathering of specific characteristics and creation of digital  representation, photograph, a voice recording and scanned fingerprint.  Most naturally significant areas supporting physical biometric process  include corners of the eyes, mouth, nose, chin and likely to be  identified by human inspection and through an automated biometric  process. 
Biometric  Access Control is a security system used to provides conditional access  after scanning for unique physical characteristics including installing  Biometric Access at ATM’s and other public facilities to safeguard  financial data. Indeed, when faces, fingers, irises and veins are  scanned such data are converted into digital format and a complex  algorithm is used to make a match. Such physical biometric processes  appear to certify as foolproof with no chance of being misused and often  confirm homeowners, financial institutions, public and private  organization. Technology infiltrating has  rearranged every facet of modern living and the global society has  become progressively digitized, protective of confidential information,  such as username and password.  Prior to biometric operations, username  and password were enough to provide adequate security to organization’s  data security data. Today, in our modern age, username, password and  keys are becoming increasingly feeble and appealing to sophisticated  criminals. 

"Create an Art Response to one of the readings from the term so far. The art piece can be poetry, short story, sculpture, painting, drawing, dance, monologue, performance piece, song, video game, or music that you create (but NOT collage). If you choose to write Haiku or short poetry, you need to write a series of at least 4 connected/related pieces.  The art MUST be your own creative work.  If you incorporate others’ words or images, you must reference them in the art itself as well as in the Artist Statement. Half of the grade.

Write an Artist Statement to turn in with your Art Response due with your art

Sample Solution

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statement of purpose 46

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Provide an authentic personal statement to each of the five following questions/prompts reflecting on their own personal interest. In the event that any outside resources are used, resources should be cited in APA format. Submissions should be a maximum of 125 words per question/prompt. Respond to each prompt/question individually for clarity of the reviewer. Writing sample should be submitted in Microsoft Word format.

  1. Tell us about yourself and your personal journey that has lead you to University of the Cumberlands.
  2. What are your research interests in the area of information technology? How did you become interested in this area of research?
  3. What is your current job/career and how will this program impact your career growth?
  4. What unique qualities do you think you have that will help you in being successful in this program?
  5. How can obtaining a doctorate impact your contribution to the practices of information technology? Where do you see yourself after obtaining a doctorate from UC?

 

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write about an event they observed or were involved in during their nursing profession that they feel might have placed a patient at risk

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Writing about one’s personal experience encourages self-reflection and improves self-awareness. In thisactivitystudents are invited to reflect, in writing, on their experiences related to managing clinical risks for patients. Students to write about an event they observed or were involved in during their nursing profession that they feel might have placed a patient at risk. Alternatively, students may want to write about an event that occurred to them as recipients ofhealthcare, or as an observer to their friends’ or family members’ experiences. The event may be one that they feel related to any of anticipation, recognition, or management of a patient safety risk. Safe patient care and reducing medical-legal risk requires nurse practitioners to be aware of potential risks and how to avoid them.
The narrative should include:

a description of the event
an explanation of how this event placed a patient at risk
the student’s reflections on the event including:
if and how the event was recognized
why and how the event occurred, for example, was the event due to

action or inaction by an individual healthcare provider
system failure(s)
a combination of systems failure(s) and individual provider performance issues

what changes or improvements they wouldmake, if any
how they felt at the time
how they currently feel about the even
Were you personally involved in the event? Discuss.
What, if any, workplace factors contributed to the event? (e.g., Was it during a handover? Did it involve a medication?)
How aware was the healthcare provider(s) of what was going on around them? (situational awareness)
How did the health care provider(s) recognize the safety problem, and how did they respond?
How did this event affect you?
What did you take away that you will use in the future?
I would do something differently next time because

Assignment Requirements:
Before finalizing your work, you should:

be sure to read the Assignment description carefully (as displayed above);
consult the Grading Rubric (under the Course Resources) to make sure you have included everything necessary; and
utilize spelling and grammar check to minimize errors.

Yourwriting Assignment should:

follow the conventions of Standard English (correct grammar, punctuation, etc.);
bewell ordered, logical, and unified, as well as original and insightful;
display superior content, organization, style; and
use APA 6th Edition format as outlined in the APA Progression Ladder.

 
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