Data mining and knowledge discovery for big data: methodologies, challenge and opportunities
Saved in:
| Format: | Book |
|---|---|
| Language: | English |
| Published: |
Berlin [u.a.]
Springer
2014
|
| Series: | Studies in big data
1 |
| Subjects: | |
| Online Access: | Inhaltstext Inhaltsverzeichnis Klappentext |
| Physical Description: | X, 303 S. Ill., graph. Darst. |
| ISBN: | 3642408362 9783642408366 |
Staff View
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CONTENTS
ASPECT AND ENTITY EXTRACTION FOR OPINION MINING 1
LEI ZHANG, BING LIU
MINING PERIODICITY FROM DYNAMIC AND INCOMPLETE
SPATIOTEMPORAL DATA 41
ZHENHUI LI, JIAWEI HAN
SPATIO-TEMPORAL DATA MINING FOR CLIMATE DATA: ADVANCES,
CHALLENGES, AND OPPORTUNITIES 83
JAMES H. FAGHMOUS, VIPIN KUMAR
MINING DISCRIMINATIVE SUBGRAPH PATTERNS FROM STRUCTURAL
DATA 117
NING JIN, WEI WANG
PATH KNOWLEDGE DISCOVERY: MULTILEVEL TEXT MINING
AS A METHODOLOGY FOR PHENOMICS 153
CHEN LIU, WESLEY W. CHU, FRED SABB, D. STOTT PARKER,
ROBERT BILDER
INFOSEARCH: A SOCIAL SEARCH ENGINE 193
PRANTIK BHATTACHARYYA, SHYHTSUN FELIX WU
SOCIAL MEDIA IN DISASTER RELIEF: USAGE PATTERNS, DATA
MINING TOOLS, AND CURRENT RESEARCH DIRECTIONS 225
PETER M. LANDWEHR, KATHLEEN M. CARLEY
A GENERALIZED APPROACH FOR SOCIAL NETWORK INTEGRATION
AND ANALYSIS WITH PRIVACY PRESERVATION 259
CHRIS YANG, BHAVANI THURAISINGHXIM
HTTP://D-NB.INFO/103837765X
X
CONTENTS
A CLUSTERING APPROACH TO CONSTRAINED BINARY MATRIX
FACTORIZATION 281
PENG JIANG, JIMING PENG, MICHAEL HEATH, RUI YANG
AUTHOR INDEX 305
Studies in Big Data
1 .
Wesley W.
Chu
Editor
Data Mining and Knowledge Discovery for Big Data
Methodologies, Challenge and Opportunities
The field of data mining has made significant and far-reaching advances over the past
three decades. Because of its potential power for solving complex problems, data min¬
ing has been successfully applied to diverse areas such as business, engineering, social
media, and biological science. Many of these applications search for patterns in complex
structural information. In
biomedicine
for example, modeling complex biological sys¬
tems requires linking knowledge across many le\'els of science, from genes to disease.
Further, the data characteristics of the problems have also grown from static to dynamic
and
spatiotemporal,
complete to incomplete, and centralized to distributed, and grow
in their scope and size (this is known as big data). The effective integration of big data
for decision-making also requires privacy preservation.
The contributions to this monograph summarize the advances of data mining in the
respective fields. This volume consists of nine chapters that address subjects ranging
from mining data from opinion,
spatiotemporal
databases, discriminative subgraph
patterns, path knowledge discovery, social media, and privacy issues to the subject o{
computation reduction via binary matrix factorization. |
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| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Book |
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| spelling | Data mining and knowledge discovery for big data methodologies, challenge and opportunities Wesley W. Chu, Ed. Berlin [u.a.] Springer 2014 X, 303 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Studies in big data 1 Big Data (DE-588)4802620-7 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Wissensextraktion (DE-588)4546354-2 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Data Mining (DE-588)4428654-5 s Wissensextraktion (DE-588)4546354-2 s Big Data (DE-588)4802620-7 s DE-604 Chu, Wesley 1976- Sonstige (DE-588)130377392 oth Erscheint auch als Online-Ausgabe 978-3-642-40837-3 Studies in big data 1 (DE-604)BV041647338 1 text/html http://deposit.dnb.de/cgi-bin/dokserv?id=4421317&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027042706&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027042706&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Data mining and knowledge discovery for big data methodologies, challenge and opportunities Studies in big data Big Data (DE-588)4802620-7 gnd Data Mining (DE-588)4428654-5 gnd Wissensextraktion (DE-588)4546354-2 gnd |
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| title | Data mining and knowledge discovery for big data methodologies, challenge and opportunities |
| title_auth | Data mining and knowledge discovery for big data methodologies, challenge and opportunities |
| title_exact_search | Data mining and knowledge discovery for big data methodologies, challenge and opportunities |
| title_full | Data mining and knowledge discovery for big data methodologies, challenge and opportunities Wesley W. Chu, Ed. |
| title_fullStr | Data mining and knowledge discovery for big data methodologies, challenge and opportunities Wesley W. Chu, Ed. |
| title_full_unstemmed | Data mining and knowledge discovery for big data methodologies, challenge and opportunities Wesley W. Chu, Ed. |
| title_short | Data mining and knowledge discovery for big data |
| title_sort | data mining and knowledge discovery for big data methodologies challenge and opportunities |
| title_sub | methodologies, challenge and opportunities |
| topic | Big Data (DE-588)4802620-7 gnd Data Mining (DE-588)4428654-5 gnd Wissensextraktion (DE-588)4546354-2 gnd |
| topic_facet | Big Data Data Mining Wissensextraktion Aufsatzsammlung |
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