Filter-INC : Handling effort-inconsistency in software effort estimation datasets

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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Computer Science

100
Software Computer Science
100
Effort Estimation Computer Science
83
Procedure Computer Science
33
Model Computer Science
33
Filtering Computer Science
33
Accuracy Computer Science
16
Design Computer Science
16
Real World Computer Science
16
Performance Measure Computer Science
16
Outlier Computer Science
16
Data Preprocessing Computer Science
16
Software Project Computer Science
16
Data-Preprocessing ... Computer Science
16
Data Diversity Computer Science
16
Evaluation Computer Science
16
Machine Learning Computer Science
16
Learning System Computer Science

Keyphrases

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Inconsistency Keyphrases
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Software Effort Est... Keyphrases
100
Handling Effort Keyphrases
66
Project Case Keyphrases
33
Filter Method Keyphrases
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Effective Technique... Keyphrases
16
Performance Measure... Keyphrases
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Software Project Keyphrases
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Accuracy Improvemen... Keyphrases
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Existing Techniques Keyphrases
16
Project Data Keyphrases
16
Data Inconsistency Keyphrases
16
Deviant Keyphrases
16
Common Solution Keyphrases
16
Effort Estimation Keyphrases
16
Information Diversi... Keyphrases
16
Data Diversity Keyphrases
16
Machine Learning Mo... Keyphrases
16
Preprocessing Data Keyphrases
16
Data Preprocessing ... Keyphrases

INIS

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filters INIS
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computer codes INIS
100
datasets INIS
85
data INIS
28
accuracy INIS
28
hypothesis INIS
28
performance INIS
14
design INIS
14
information INIS
14
evaluation INIS
14
losses INIS
14
solutions INIS
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removal INIS
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machine learning INIS
Research OutputsResearch Output authored by Filter-INC is tagged with the concept