All posts by : chebby

 
Explain how cookies can show that a user has visited a site if that user’s history has been deleted. Need in a word document with no less than 250words with references.

Due in 12 h

You shall implement all functions described in this skeleton code, according to their commented descriptions, in a header file named cs19_c_strings.h.

You may not use any #include directives. Rather, take this opportunity to write pure C++, without the use of any library functions/classes/etc.

Notes:  Note that these functions are wrapped in a namespace named cs19. Namespaces are C++’s broadest non-global scope, and are used as a way of grouping together classes, functions, etc. into a category. When we refer to std::cout, for example, we are accessing a variable named cout within a namespace named std (where all of the C++ standard library items are defined). 

1. In CLIQUE, the threshold used to find cluster density remains constant, even as the number of dimensions increases. This is a potential problem since density drops as dimensionality increases; i.e., to find clusters in higher dimensions the threshold has to be set at a level that may well result in the merging of low-dimensional clusters. Comment on whether you feel this is truly a problem and, if so, how you might modify CLIQUE to address this problem.

2. Name at least one situation in which you would not want to use clustering based on SNN similarity or density.

3. Give an example of a set of clusters in which merging based on the closeness of clusters leads to a more natural set of clusters than merging based on the strength of connection (interconnectedness) of clusters.

4. We take a sample of adults and measure their heights. If we record the gender of each person, we can calculate the average height and the variance of the height, separately, for men and women. Suppose, however, that this information was not recorded. Would it be possible to still obtain this information? Explain.

5. Explain the difference between likelihood and probability.

6. Traditional K-means has a number of limitations, such as sensitivity to outliers and difficulty in handling clusters of different sizes and densities, or with non-globular shapes. Comment on the ability of fuzzy c-means to handle these situations.

7. Clusters of documents can be summarized by finding the top terms (words) for the documents in the cluster, e.g., by taking the most frequent k terms, where k is a constant, say 10, or by taking all terms that occur more frequently than a specified threshold. Suppose that K-means is used to find clusters of both documents and words for a document data set.

(a) How might a set of term clusters defined by the top terms in a document cluster differ from the word clusters found by clustering the terms with K-means?

(b) How could term clustering be used to define clusters of documents?

8. Suppose we find K clusters using Ward’s method, bisecting K-means, and ordinary K-means. Which of these solutions represents a local or global minimum? Explain.

9. You are given a data set with 100 records and are asked to cluster the data. You use K-means to cluster the data, but for all values of K, 1 ≤ K ≤ 100, the K-means algorithm returns only one non-empty cluster. You then apply an incremental version of K-means, but obtain exactly the same result. How is this possible? How would single link or DBSCAN handle such data?

 Pick a topic below and post your reply by Wednesday at midnight. Your response should be at least 400 words and appropriately cites your resources. 

Topics:

• How well can we predict the consequences of a new technology or application?
• Who should make the decision for a business on what technology the adopt?
• What does the term “need for reasonable judgement” mean?
• Do sites like Wikipedia hold any credibility?

11page   paper
use the book too that’s been provided

Scholar   reference

And prepare the PowerPoint slide too of the  paper with a diagram as much as possible 

Instructions

Pick one of the below operating systems and present information on the operating systems, and your thoughts comparing the selected operating system with other systems.

small description of all the operating systems listed

why it is best than the rest of all also includes the pros and cons of the chosen one.

good reasoning behind choosing this

what are the future program and aim 

big company that uses this operating system
some diagram to explain in the presentation slide must be included

Also, explain some topics from the book for these operating systems

· Windows 

· Linux 

· Unix

· Android

· iOS

Finish it in 24 hours, no cited needed

Write a critical evaluation of your learning outcomes. In your response, consider:

1. The content of this class as they relate to Team Management and managerial decision making.

2. Base on the course content, discuss new skills you acquired from this class? How relevant are the new skills to your current and/or future profession?

3. How would you apply your new knowledge?

This week we focus on the various maturity stages and variables in the middle manager best practices are.  Refer to chapter 12 from this week’s reading and note the various stages, what they are and why they are important.

 Describe three approaches to detecting errors, including how they work, the probability of detecting an error, and any other benefits or limitations. 

 After reading chapter 13, analyze the advantages and disadvantages of digital signatures.