FSU Big Data Exam 2 IDC3931 ISM 3540

You are tasked with accumulating survey data on a web page and are responsible for it being free from dirty data once you close the survey and get the data to the researching team. Which is the best way to handle the possibility of dirty data?

Build a website that validates data as the survey participant takes the survey.

Which data mining process/methodology is thought to be the most comprehensive, according to kdnuggets.com rankings?

CRISP-DM

Which of the following is a data mining myth?

Data mining requires a separate, dedicated database

Data mining can be very useful in detecting patterns such as credit card fraud, but is of little help in improving sales.

False

Data mining requires specialized data analysts to ask ad hoc questions and obtain answers quickly from the system.

False

Data that is collected, stored, and analyzed in data mining is often private and personal. There is no way to maintain individuals' privacy other than being very careful about physical data security.

False

Descriptive analytics for social media feature such items as your followers as well as the content in online conversations that help you to identify themes and sentiments.

False

In a dataset where all values on an observation are supposed to be populated you encounter several which are empty (NULL). It is always best to replace these NULL values with the average of that column of data.

False

In most cases, Hadoop is used to replace data warehouses.

False

In sentiment analysis, sentiment suggests a transient, temporary opinion reflective of one's feelings.

False

In the Salesforce case study, streaming data is used to identify services that customers use most.

False

In the cancer research case study, data mining algorithms that predict cancer survivability with high predictive power are good replacements for medical professionals.

False

In the car insurance case study, text mining was used to identify auto features that caused injuries.

False

In the evolution of social media user engagement, the largest recent change is the growth of creators.

False

In the opening case, police detectives used data mining to identify possible new areas of inquiry.

False

K-fold cross-validation is also called sliding estimation.

False

Market basket analysis is a useful and entertaining way to explain data mining to a technologically less savvy audience, but it has little business significance.

False

Search engine optimization (SEO) techniques play a minor role in a Web site's search ranking because only well-written content matters.

False

Search engines are only used in the context of the World Wide Web (WWW).

False

Since little can be done about visitor Web site abandonment rates, organizations have to focus their efforts on increasing the number of new visitors.

False

Statistics and data mining both look for data sets that are as large as possible.

False

The entire focus of the predictive analytics system in the Infinity P&C case was on detecting and handling fraudulent claims for the company's benefit.

False

Web-based media has nearly identical cost and scale structures as traditional media.

False

How does Hadoop work?

It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on multiple computers.

The data field "ethnic group" can be best described as

Nominal Data

Which of the following sources is likely to produce Big Data the fastest?

RFID tags

In sentiment analysis, which of the following is an implicit opinion?

The customer service I got was laughable

All of the following statements about data mining are true EXCEPT:

The ideas behind it are relatively new.

What do voice of the market (VOM) applications of sentiment analysis do?

They examine customer sentiment at the aggregate level.

Articles and auxiliary verbs are assigned little value in text mining and are usually filtered out.

True

Categorization and clustering of documents during text mining differ only in the preselection of categories.

True

Clickstream analysis does not need users to enter their perceptions of the Web site or other feedback directly to be useful in determining their preferences.

True

Converting continuous valued numerical variables to ranges and categories is referred to as discretization.

True

Current use of sentiment analysis in voice of the customer applications allows companies to change their products or services in real time in response to customer sentiment.

True

Despite their potential, many current NoSQL tools lack mature management and monitoring tools.

True

For low latency, interactive reports, a data warehouse is preferable to Hadoop.

True

If using a mining analogy, "knowledge mining" would be a more appropriate term than "data mining."

True

In data mining, classification models help in prediction

True

In data mining, classification models help in prediction.

True

In sentiment analysis, it is hard to classify some subjects such as news as good or bad, but easier to classify others, e.g., movie reviews, in the same way.

True

In text mining, if an association between two concepts has 7% support, it means that 7% of the documents had both concepts represented in the same document.

True

In the Tito's Vodka case study, trends in cocktails were studied to create a quarterly recipe for customers.

True

In the opening vignette, the Access Telecom (AT), built a system to better visualize customers who were unhappy before they canceled their service.

True

It is important for Big Data and self-service business intelligence to go hand in hand to get maximum value from analytics.

True

MapReduce can be easily understood by skilled programmers due to its procedural nature.

True

Satellite data can be used to evaluate the activity at retail locations as a source of alternative data.

True

The cost of data storage has plummeted recently, making data mining feasible for more firms.

True

The quality and objectivity of information disseminated by influential users of Twitter is higher than that disseminated by noninfluential users.

True

There is a clear difference between the type of information support provided by influential users versus the others on Twitter.

True

Using data mining on data about imports and exports can help to detect tax avoidance and money laundering.

True

When a problem has many attributes that impact the classification of different patterns, decision trees may be a useful approach.

True

Which of the following is NOT one of the "3 V's of Big Data"

Veracity

Search engine optimization (SEO) is a means by which

Web site developers can increase web site search rankings

In text analysis, what is a lexicon?

a catalog of words, their synonyms, and their meanings

In the opening vignette, the architectural system that supported Watson used all the following elements EXCEPT

a core engine that could operate seamlessly in another domain without changes.

A data mining study is specific to addressing a well-defined business task, and different business tasks require

different sets of data.

A company/organization can encounter dirty data in the form of

email address, mailing address, duplicate data

Consistent high quality, higher publishing frequency, and longer time lag are all attributes of industrial publishing when compared to Web publishing.

false

Which Big Data approach promotes efficiency, lower cost, and better performance by processing jobs in a shared, centrally managed pool of IT resources?

grid computing

Understanding which keywords your users enter to reach your Web site through a search engine can help you understand

how well visitors understand your products.

Identifying and preventing incorrect claim payments and fraudulent activities falls under which type of data mining applications?

insurance

What does the scalability of a data mining method refer to?

its ability to construct a prediction model efficiently given a large amount of data

What are the two main types of Web analytics?

off-site and on-site Web analytics

Breaking up a Web page into its components to identify worthy words/terms and indexing them using a set of rules is called

parsing the document

Prediction problems where the variables have numeric values are most accurately defined as

regressions

Third party providers of publicly available data sets protect the anonymity of the individuals in the data set primarily by

removing identifiers such as names and social security numbers

In a Hadoop "stack," what node periodically replicates and stores data from the Name Node should it fail?

secondary node

Clustering partitions a collection of things into segments whose members share

similar characteristics.

Natural language processing (NLP) is associated with which of the following areas?

text mining, artificial intelligence, computational linguistics

Companies with the largest revenues from Big Data tend to be

the largest computer and IT services firms.

In the research literature case study, the researchers analyzing academic papers extracted information from which source?

the paper abstract

In estimating the accuracy of data mining (or other) classification models, the true positive rate is

the ratio of correctly classified positives divided by the total positive count.

Traditional data warehouses have not been able to keep up with

the variety and complexity of data.

Under which of the following requirements would it be more appropriate to use Hadoop over a data warehouse?

unrestricted, ungoverned sandbox explorations

The Eckerson survey of 2002 estimated the total cost (to the US yearly economy) of dirty data to be approximately:

$600 Billion

Companies understand that when their product goes "viral," the content of the online conversations about their product does not matter, only the volume of conversations.

False

What does Web content mining involve?

analyzing the unstructured content of Web pages

Understanding customers better has helped Amazon and others become more successful. The understanding comes primarily from

analyzing the vast data amounts routinely collected

In data mining, finding an affinity of two products to be commonly together in a shopping cart is known as

association rule mining.

In text mining, tokenizing is the process of

categorizing a block of text in a sentence

Which broad area of data mining applications analyzes data, forming rules to distinguish between defined classes?

classification