Verfügbarkeit: Practical Approaches to Causal Relationship Exploration

Practical Approaches to Causal Relationship Exploration:

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Bibliographische Detailangaben
1. Verfasser:	Li, Jiuyong (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Cham Springer International Publishing 2015
Schriftenreihe:	SpringerBriefs in Electrical and Computer Engineering
Schlagworte:	Data Mining Informatik Wissensextraktion
Online-Zugang:	TUM01 UBR01 UPA01 URL des Erstveröffentlichers Inhaltsverzeichnis Abstract
Beschreibung:	X, 80 p. Ill.
ISBN:	9783319144337 9783319144320
DOI:	10.1007/978-3-319-14433-7

Internformat

MARC


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Datensatz im Suchindex

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adam_text	PRACTICAL APPROACHES TO CAUSAL RELATIONSHIP EXPLORATION / LI, JIUYONG : 2015 TABLE OF CONTENTS / INHALTSVERZEICHNIS INTRODUCTION LOCAL CAUSAL DISCOVERY WITH A SIMPLE PC ALGORITHM A LOCAL CAUSAL DISCOVERY ALGORITHM FOR HIGH DIMENSIONAL DATA CAUSAL RULE DISCOVERY WITH PARTIAL ASSOCIATION TEST CAUSAL RULE DISCOVERY WITH COHORT STUDIES EXPERIMENTAL COMPARISON AND DISCUSSIONS DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. PRACTICAL APPROACHES TO CAUSAL RELATIONSHIP EXPLORATION / LI, JIUYONG : 2015 ABSTRACT / INHALTSTEXT THIS BRIEF PRESENTS FOUR PRACTICAL METHODS TO EFFECTIVELY EXPLORE CAUSAL RELATIONSHIPS, WHICH ARE OFTEN USED FOR EXPLANATION, PREDICTION AND DECISION MAKING IN MEDICINE, EPIDEMIOLOGY, BIOLOGY, ECONOMICS, PHYSICS AND SOCIAL SCIENCES. THE FIRST TWO METHODS APPLY CONDITIONAL INDEPENDENCE TESTS FOR CAUSAL DISCOVERY. THE LAST TWO METHODS EMPLOY ASSOCIATION RULE MINING FOR EFFICIENT CAUSAL HYPOTHESIS GENERATION, AND A PARTIAL ASSOCIATION TEST AND RETROSPECTIVE COHORT STUDY FOR VALIDATING THE HYPOTHESES. ALL FOUR METHODS ARE INNOVATIVE AND EFFECTIVE IN IDENTIFYING POTENTIAL CAUSAL RELATIONSHIPS AROUND A GIVEN TARGET, AND EACH HAS ITS OWN STRENGTH AND WEAKNESS. FOR EACH METHOD, A SOFTWARE TOOL IS PROVIDED ALONG WITH EXAMPLES DEMONSTRATING ITS USE. PRACTICAL APPROACHES TO CAUSAL RELATIONSHIP EXPLORATION IS DESIGNED FOR RESEARCHERS AND PRACTITIONERS WORKING IN THE AREAS OF ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, DATA MINING, AND BIOMEDICAL RESEARCH. THE MATERIAL ALSO BENEFITS ADVANCED STUDENTS INTERESTED IN CAUSAL RELATIONSHIP DISCOVERY DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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spelling	Li, Jiuyong Verfasser (DE-588)142953318 aut Practical Approaches to Causal Relationship Exploration by Jiuyong Li, Lin Liu, Thuc Duy Le Cham Springer International Publishing 2015 X, 80 p. Ill. txt rdacontent c rdamedia cr rdacarrier SpringerBriefs in Electrical and Computer Engineering Data Mining (DE-588)4428654-5 gnd rswk-swf Informatik (DE-588)4026894-9 gnd rswk-swf Wissensextraktion (DE-588)4546354-2 gnd rswk-swf Informatik (DE-588)4026894-9 s Wissensextraktion (DE-588)4546354-2 s Data Mining (DE-588)4428654-5 s DE-604 Liu, Lin Sonstige oth Le, Thuc Duy Sonstige oth https://doi.org/10.1007/978-3-319-14433-7 Verlag URL des Erstveröffentlichers Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027916744&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027916744&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract
spellingShingle	Li, Jiuyong Practical Approaches to Causal Relationship Exploration Data Mining (DE-588)4428654-5 gnd Informatik (DE-588)4026894-9 gnd Wissensextraktion (DE-588)4546354-2 gnd
subject_GND	(DE-588)4428654-5 (DE-588)4026894-9 (DE-588)4546354-2
title	Practical Approaches to Causal Relationship Exploration
title_auth	Practical Approaches to Causal Relationship Exploration
title_exact_search	Practical Approaches to Causal Relationship Exploration
title_full	Practical Approaches to Causal Relationship Exploration by Jiuyong Li, Lin Liu, Thuc Duy Le
title_fullStr	Practical Approaches to Causal Relationship Exploration by Jiuyong Li, Lin Liu, Thuc Duy Le
title_full_unstemmed	Practical Approaches to Causal Relationship Exploration by Jiuyong Li, Lin Liu, Thuc Duy Le
title_short	Practical Approaches to Causal Relationship Exploration
title_sort	practical approaches to causal relationship exploration
topic	Data Mining (DE-588)4428654-5 gnd Informatik (DE-588)4026894-9 gnd Wissensextraktion (DE-588)4546354-2 gnd
topic_facet	Data Mining Informatik Wissensextraktion
url	https://doi.org/10.1007/978-3-319-14433-7 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027916744&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027916744&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT lijiuyong practicalapproachestocausalrelationshipexploration AT liulin practicalapproachestocausalrelationshipexploration AT lethucduy practicalapproachestocausalrelationshipexploration

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