GMAT Question of the Day - Daily to your Mailbox; hard ones only

It is currently 20 Aug 2019, 15:49

Close

GMAT Club Daily Prep

Thank you for using the timer - this advanced tool can estimate your performance and suggest more practice questions. We have subscribed you to Daily Prep Questions via email.

Customized
for You

we will pick new questions that match your level based on your Timer History

Track
Your Progress

every week, we’ll send you an estimated GMAT score based on your performance

Practice
Pays

we will pick new questions that match your level based on your Timer History

Not interested in getting valuable practice questions and articles delivered to your email? No problem, unsubscribe here.

Close

Request Expert Reply

Confirm Cancel

V11-32

  new topic post reply Question banks Downloads My Bookmarks Reviews Important topics  
Author Message
TAGS:

Hide Tags

Find Similar Topics 
Current Student
User avatar
V
Joined: 19 Mar 2012
Posts: 4263
Location: India
GMAT 1: 760 Q50 V42
GPA: 3.8
WE: Marketing (Non-Profit and Government)
V11-32  [#permalink]

Show Tags

New post 04 Jan 2016, 11:47
00:00
A
B
C
D
E

Difficulty:

  95% (hard)

Question Stats:

33% (02:43) correct 67% (02:14) wrong based on 12 sessions

HideShow timer Statistics

Systems employed during surveillance activities might be enhanced using anomaly detection capabilities. Such capabilities can be employed to highlight those situations, events or objects that need operator's attention, reducing, thus, their cognitive load and reaction time. Early detection of such situations provides critical time to take appropriate action with, possibly before potential problems occur. However, the detection of such conflict situations or general anomalous behavior in surveillance data is a complex analytical task that normally cannot be solved using purely visual analysis or purely automatic computational methods. On the one hand, the success of purely visual analysis methods for area surveillance often depend on factors such as the amount of sensor data that needs to be monitored, time constraints, or even operators' cognitive load and level of fatigue. On the other hand, current automatic anomaly detection solutions normally present high false alarm rates when dealing with complex situations. The high number of false alarms can become a nuisance for operators, who might react by turning anomaly detection capabilities off. Some researchers dispute the use of fully autonomous discovery systems in real-world settings, highlighting the need of including human knowledge in the discovery process. Most of the published work on anomaly detection focuses on the technological aspects: new and combinations of methods, additional improvements of existing methods, reduction of false alarms, correlations among alarms, etc. Publications regarding the use of anomaly detection methods in real environments, or human factors studies regarding anomaly detection, are scarce. In order to find optimal combinations of human expert knowledge and computational methods for anomaly detection, it is important to investigate how the surveillance of sea areas is carried out. This domain is suitable for the study of finding optimal combinations of expert knowledge and computational methods, since it fulfils the characteristics of many data-intensive domains – large amounts of multivariate data, the need for operator support to solve complex problems, the need for situation awareness to promote effective decision-making etc. Knowledge of how the analysis of traffic data is carried out in a daily-basis can be used to propose how to support such processes using data mining and visualization methods.

The passage does not necessarily imply any of the following statements except that

A. the main drawback of the autonomous anomaly discovery systems is that they can never achieve zero false alarm rates.
B. further research in sea traffic movement can determine the best possible combination of human expert knowledge and computational method.
C. research in surveillance system has not been properly carried out because of the difficulty of analysing huge amount of data associated with the domain.
D. some researchers do not disagree that fully automatic surveillance methods can practically eliminate the requirement of human intervention.
E. no research work has been done on the non-technological aspect of the anomaly detection system.

_________________
Current Student
User avatar
V
Joined: 19 Mar 2012
Posts: 4263
Location: India
GMAT 1: 760 Q50 V42
GPA: 3.8
WE: Marketing (Non-Profit and Government)
Re V11-32  [#permalink]

Show Tags

New post 04 Jan 2016, 11:48
Official Solution:

Systems employed during surveillance activities might be enhanced using anomaly detection capabilities. Such capabilities can be employed to highlight those situations, events or objects that need operator's attention, reducing, thus, their cognitive load and reaction time. Early detection of such situations provides critical time to take appropriate action with, possibly before potential problems occur. However, the detection of such conflict situations or general anomalous behavior in surveillance data is a complex analytical task that normally cannot be solved using purely visual analysis or purely automatic computational methods. On the one hand, the success of purely visual analysis methods for area surveillance often depend on factors such as the amount of sensor data that needs to be monitored, time constraints, or even operators' cognitive load and level of fatigue. On the other hand, current automatic anomaly detection solutions normally present high false alarm rates when dealing with complex situations. The high number of false alarms can become a nuisance for operators, who might react by turning anomaly detection capabilities off. Some researchers dispute the use of fully autonomous discovery systems in real-world settings, highlighting the need of including human knowledge in the discovery process. Most of the published work on anomaly detection focuses on the technological aspects: new and combinations of methods, additional improvements of existing methods, reduction of false alarms, correlations among alarms, etc. Publications regarding the use of anomaly detection methods in real environments, or human factors studies regarding anomaly detection, are scarce. In order to find optimal combinations of human expert knowledge and computational methods for anomaly detection, it is important to investigate how the surveillance of sea areas is carried out. This domain is suitable for the study of finding optimal combinations of expert knowledge and computational methods, since it fulfils the characteristics of many data-intensive domains – large amounts of multivariate data, the need for operator support to solve complex problems, the need for situation awareness to promote effective decision-making etc. Knowledge of how the analysis of traffic data is carried out in a daily-basis can be used to propose how to support such processes using data mining and visualization methods.

The passage does not necessarily imply any of the following statements except that

A. the main drawback of the autonomous anomaly discovery systems is that they can never achieve zero false alarm rates.
B. further research in sea traffic movement can determine the best possible combination of human expert knowledge and computational method.
C. research in surveillance system has not been properly carried out because of the difficulty of analysing huge amount of data associated with the domain.
D. some researchers do not disagree that fully automatic surveillance methods can practically eliminate the requirement of human intervention.
E. no research work has been done on the non-technological aspect of the anomaly detection system.

A. The drawback of the autonomous anomaly discovery systems is that they create high false alarms; this does not imply that they can never achieve zero false alarms. It could be possible that at least one system has achieved or will achieve zero false alarm condition. B. The passage does not clarify whether further research can or cannot determine the best possible combination; it just states the requirement of research. C. Difficulty in analysing high amount of data is not referred as the reason that research in surveillance system has not been carried out; on the contrary availability of high amount of data makes this domain suitable for research. D. The passage states some researchers dispute the use of fully autonomous discovery systems in real-world settings, implying that others do not dispute or disagree. E. Most of the works have been done in technological aspects does not imply that no work has been done on non-technological aspects.

Answer: D
_________________
Manager
Manager
avatar
B
Joined: 20 Jun 2014
Posts: 50
GMAT 1: 630 Q49 V27
GMAT 2: 660 Q49 V32
Reviews Badge
Re: V11-32  [#permalink]

Show Tags

New post 01 Jun 2017, 00:54
What does it mean when the question sayd - "passage implies " ?
Is the information provided in the passage or the information has to be inferred from the context ?
Intern
Intern
avatar
Joined: 08 Jun 2017
Posts: 1
Re: V11-32  [#permalink]

Show Tags

New post 18 Jun 2017, 00:39
The other researchers may not have an opinion , to infer that other researchers necessarily disagree with complete automation is logically inaccurate, The answer D here seems wrong. Please explain further.
Intern
Intern
avatar
B
Joined: 08 Feb 2017
Posts: 6
Re: V11-32  [#permalink]

Show Tags

New post 05 Aug 2017, 01:39
hi , i have a confusion with option B .
The passage states . ''In order to find optimal combinations of human expert knowledge and computational methods for anomaly detection, it is important to investigate how the surveillance of sea areas is carried out ''

Thus why option B is wrong as it to states the same .
Regards
Intern
Intern
avatar
Joined: 08 Mar 2017
Posts: 1
Re V11-32  [#permalink]

Show Tags

New post 24 Aug 2017, 20:50
I think this is a poor-quality question and the explanation isn't clear enough, please elaborate.
Intern
Intern
avatar
B
Joined: 07 Oct 2016
Posts: 1
Re: V11-32  [#permalink]

Show Tags

New post 01 Apr 2018, 10:44
Doesn't some researchers mean anywhere from 1% to 100% of all researchers dispute the use of of fully autonomous discovery systems. So, the passage doesn't necessarily imply some do not "dispute or disagree" since it could be the case that 100% of all researchers "dispute the use of fully autonomous discovery systems in real-world settings".

P.s. some = "at-least 1 or 1% to 100%". Your explanation is implying some is defined as "not all", which is "not a 100% or 0% to 99%". Not all is the logical opposite of some.
Intern
Intern
avatar
Joined: 25 Mar 2018
Posts: 1
Re V11-32  [#permalink]

Show Tags

New post 20 Oct 2018, 09:07
I think this is a poor-quality question and the explanation isn't clear enough, please elaborate. please explain why is choice B incorrect ?
Intern
Intern
avatar
B
Joined: 22 Oct 2018
Posts: 4
GMAT 1: 770 Q50 V45
Premium Member
V11-32  [#permalink]

Show Tags

New post Updated on: 27 Feb 2019, 09:39
I think this is a poor-quality question and I don't agree with the explanation.

Originally posted by ayshwar on 14 Jan 2019, 18:38.
Last edited by ayshwar on 27 Feb 2019, 09:39, edited 1 time in total.
Intern
Intern
avatar
B
Joined: 13 Dec 2018
Posts: 7
Re: V11-32  [#permalink]

Show Tags

New post 20 Feb 2019, 10:14
I totally disagree with options. For the suggested answer,

Some agree does not automatically imply some don't agree. Some agree just means a few agree (1-100%). There is no info about others. May be they don't have an opinion(i.e. they neither agree nor disagree).

Please explain
Director
Director
avatar
G
Joined: 22 Nov 2018
Posts: 534
Location: India
GMAT 1: 640 Q45 V35
GMAT 2: 660 Q48 V33
Re V11-32  [#permalink]

Show Tags

New post 26 Feb 2019, 22:21
I think this is a high-quality question and I don't agree with the explanation. in inference questions the answers must be 100 % true. Some researchers dispute does not mean that others if any support fully autonomous discovery systems. I prefer Option B
_________________
Give +1 kudos if this answer helps..!!
Intern
Intern
avatar
B
Joined: 25 May 2017
Posts: 1
Re: V11-32  [#permalink]

Show Tags

New post 29 May 2019, 11:05
Question, I dont understand why option B is incorrect given the stated passage of the 2nd paragraph:
"In order to find optimal combinations of human expert knowledge and computational methods for anomaly detection, it is important to investigate how the surveillance of sea areas is carried out"

This is the explanation for B:
B. The passage does not clarify whether further research can or cannot determine the best possible combination; it just states the requirement of research.

I would appreciate an explanation
GMAT Club Bot
Re: V11-32   [#permalink] 29 May 2019, 11:05
Display posts from previous: Sort by

V11-32

  new topic post reply Question banks Downloads My Bookmarks Reviews Important topics  

Moderators: chetan2u, Bunuel






Powered by phpBB © phpBB Group | Emoji artwork provided by EmojiOne