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Data dredging
Known as:
Data dredge
, Data snooping
, P-hacking
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Data dredging (also data fishing, data snooping, and p-hacking) is the use of data mining to uncover patterns in data that can be presented as…
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Related topics
Related topics
7 relations
Correlation does not imply causation
Kitchen sink regression
Overfitting
Selection bias
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Broader (2)
Data mining
Design of experiments
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
A Taxonomy of Anomalies and Their Trading Costs
Robert Novy-Marx
,
Mihail Velikov
2014
Corpus ID: 31003140
We study the after-trading-cost performance of anomalies and the effectiveness of transaction cost mitigation techniques…
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Highly Cited
2013
Highly Cited
2013
The real-time city? Big data and smart urbanism
Rob Kitchin
GeoJournal
2013
Corpus ID: 16502751
‘Smart cities’ is a term that has gained traction in academia, business and government to describe cities that, on the one hand…
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Review
2013
Review
2013
A Study of Encryption Algorithms (RSA, DES, 3DES and AES) for Information Security
G. Singh
,
Supriya
International Journal of Computer Applications
2013
Corpus ID: 7625130
Encryption is the process of scrambling a message so that only the intended recipient can read it. Encryption can provide a means…
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Highly Cited
2012
Highly Cited
2012
On-the-fly multiparty computation on the cloud via multikey fully homomorphic encryption
Adriana López-Alt
,
Eran Tromer
,
V. Vaikuntanathan
Symposium on the Theory of Computing
2012
Corpus ID: 1520451
We propose a new notion of secure multiparty computation aided by a computationally-powerful but untrusted "cloud" server. In…
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Highly Cited
2010
Highly Cited
2010
The smart thermostat: using occupancy sensors to save energy in homes
Jiakang Lu
,
Tamim I. Sookoor
,
+5 authors
K. Whitehouse
ACM International Conference on Embedded…
2010
Corpus ID: 207183167
Heating, ventilation and cooling (HVAC) is the largest source of residential energy consumption. In this paper, we demonstrate…
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Highly Cited
2006
Highly Cited
2006
Global analysis of response and recovery of benthic biota to fishing
M. Kaiser
,
K. Clarke
,
H. Hinz
,
M. Austen
,
P. Somerfield
,
Ioannis Karakassis
2006
Corpus ID: 56380963
Towed bottom-fishing gears are thought to constitute one of the largest global anthropogenic sources of disturbance to the seabed…
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Highly Cited
2005
Highly Cited
2005
A Test for Superior Predictive Ability
P. Hansen
2005
Corpus ID: 31771437
We propose a new test for superior predictive ability. The new test compares favorably to the reality check (RC) for data…
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Highly Cited
2000
Highly Cited
2000
A Reality Check for Data Snooping
H. White
2000
Corpus ID: 3917886
Data snooping occurs when a given set of data is used more than once for purposes of inference or model selection. When such data…
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Review
1999
Review
1999
Implementing Statistical Criteria to Select Return Forecasting Models: What Do We Learn?
P. Bossaerts
,
Pierre Hillion
1999
Corpus ID: 11482005
Statistical model selection criteria provide an informed choice of the model with best external (i.e., out-of-sample) validity…
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Highly Cited
1998
Highly Cited
1998
Local Return Factors and Turnover in Emerging Stock Markets
K. Rouwenhorst
1998
Corpus ID: 16566573
The paper shows that the factors that drive cross-sectional differences in expected stock returns in emerging equity markets are…
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