Holdings: Data analysis and pattern recognition in multiple databases

Data analysis and pattern recognition in multiple databases:

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Bibliographic Details
Main Author:	Adhikari, Animesh (Author)
Format:	Electronic eBook
Language:	English
Published:	Cham Springer [2014]
Series:	Intelligent systems reference library v. 61
Subjects:	Ingenieurwissenschaften Data mining Engineering Optical pattern recognition
Online Access:	TUM01 Volltext Inhaltsverzeichnis Abstract
Physical Description:	1 online resource (247 pages) illustrations
ISBN:	9783319034096 9783319034102 9781306542142
DOI:	10.1007/978-3-319-03410-2

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MARC


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adam_text	DATA ANALYSIS AND PATTERN RECOGNITION IN MULTIPLE DATABASES / ADHIKARI, ANIMESH : 2014 TABLE OF CONTENTS / INHALTSVERZEICHNIS FROM THE CONTENTS: SYNTHESIZING DIFFERENT EXTREME ASSOCIATION RULES IN MULTIPLE DATA SOURCES CLUSTERING ITEMS IN TIME-STAMPED DATABASES INDUCED BY STABILITY MINING GLOBAL PATTERNS IN MULTIPLE LARGE DATABASES CLUSTERING LOCAL FREQUENCY ITEMS IN MULTIPLE DATA SOURCES MINING PATTERNS OF SELECT ITEMS IN DIFFERENT DATA SOURCES DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. DATA ANALYSIS AND PATTERN RECOGNITION IN MULTIPLE DATABASES / ADHIKARI, ANIMESH : 2014 ABSTRACT / INHALTSTEXT PATTERN RECOGNITION IN DATA IS A WELL KNOWN CLASSICAL PROBLEM THAT FALLS UNDER THE AMBIT OF DATA ANALYSIS. AS WE NEED TO HANDLE DIFFERENT DATA, THE NATURE OF PATTERNS, THEIR RECOGNITION AND THE TYPES OF DATA ANALYSES ARE BOUND TO CHANGE. SINCE THE NUMBER OF DATA COLLECTION CHANNELS INCREASES IN THE RECENT TIME AND BECOMES MORE DIVERSIFIED, MANY REAL-WORLD DATA MINING TASKS CAN EASILY ACQUIRE MULTIPLE DATABASES FROM VARIOUS SOURCES. IN THESE CASES, DATA MINING BECOMES MORE CHALLENGING FOR SEVERAL ESSENTIAL REASONS. WE MAY ENCOUNTER SENSITIVE DATA ORIGINATING FROM DIFFERENT SOURCES - THOSE CANNOT BE AMALGAMATED. EVEN IF WE ARE ALLOWED TO PLACE DIFFERENT DATA TOGETHER, WE ARE CERTAINLY NOT ABLE TO ANALYSE THEM WHEN LOCAL IDENTITIES OF PATTERNS ARE REQUIRED TO BE RETAINED. THUS, PATTERN RECOGNITION IN MULTIPLE DATABASES GIVES RISE TO A SUITE OF NEW, CHALLENGING PROBLEMS DIFFERENT FROM THOSE ENCOUNTERED BEFORE. ASSOCIATION RULE MINING, GLOBAL PATTERN DISCOVERY, AND MINING PATTERNS OF SELECT ITEMS PROVIDE DIFFERENT PATTERNS DISCOVERY TECHNIQUES IN MULTIPLE DATA SOURCES. SOME INTERESTING ITEM-BASED DATA ANALYSES ARE ALSO COVERED IN THIS BOOK. INTERESTING PATTERNS, SUCH AS EXCEPTIONAL PATTERNS, ICEBERGS AND PERIODIC PATTERNS HAVE BEEN RECENTLY REPORTED. THE BOOK PRESENTS A THOROUGH INFLUENCE ANALYSIS BETWEEN ITEMS IN TIME-STAMPED DATABASES. THE RECENT RESEARCH ON MINING MULTIPLE RELATED DATABASES IS COVERED WHILE SOME PREVIOUS CONTRIBUTIONS TO THE AREA ARE HIGHLIGHTED AND CONTRASTED WITH THE MOST RECENT DEVELOPMENTS DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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series	Intelligent systems reference library
series2	Intelligent systems reference library
spellingShingle	Adhikari, Animesh Data analysis and pattern recognition in multiple databases Intelligent systems reference library Ingenieurwissenschaften Data mining Engineering Optical pattern recognition
title	Data analysis and pattern recognition in multiple databases
title_auth	Data analysis and pattern recognition in multiple databases
title_exact_search	Data analysis and pattern recognition in multiple databases
title_full	Data analysis and pattern recognition in multiple databases Animesh Adhikari, Jhimli Adhikari, Witold Pedrycz
title_fullStr	Data analysis and pattern recognition in multiple databases Animesh Adhikari, Jhimli Adhikari, Witold Pedrycz
title_full_unstemmed	Data analysis and pattern recognition in multiple databases Animesh Adhikari, Jhimli Adhikari, Witold Pedrycz
title_short	Data analysis and pattern recognition in multiple databases
title_sort	data analysis and pattern recognition in multiple databases
topic	Ingenieurwissenschaften Data mining Engineering Optical pattern recognition
topic_facet	Ingenieurwissenschaften Data mining Engineering Optical pattern recognition
url	https://doi.org/10.1007/978-3-319-03410-2 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028415001&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=028415001&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
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