|
|
|
|
LEADER |
05218aam a22006371i 4500 |
001 |
180-019934593 |
003 |
Uk |
005 |
20201102170028.0 |
006 |
m || d | |
007 |
cr ||||||||||| |
008 |
200919s2020 sz o 100 0 eng d |
015 |
|
|
|a GBC0G9197
|2 bnb
|
020 |
|
|
|a 9783030590659
|q (electronic bk.)
|
020 |
|
|
|a 3030590658
|q (electronic bk.)
|
020 |
|
|
|z 9783030590642
|
024 |
7 |
|
|a 10.1007/978-3-030-59065-9
|2 doi
|
024 |
8 |
|
|a 10.1007/978-3-030-59
|
037 |
|
|
|a com.springer.onix.9783030590659
|b Springer Nature
|
040 |
|
|
|a EBLCP
|b eng
|c EBLCP
|d LQU
|d UPM
|d YDXIT
|d GW5XE
|d Uk
|e rda
|
042 |
|
|
|a ukblsr
|
050 |
|
4 |
|a QA76.9.D3
|b S66 2020
|
082 |
0 |
4 |
|a 005.74
|2 23
|
111 |
2 |
|
|a DaWaK (Conference)
|n (22nd :
|d 2020 :
|c Online)
|
245 |
1 |
0 |
|a Big data analytics and knowledge discovery
|b 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings
|c Min Song, Il-Yeol Song, Gabriele Kotsis, A Min Tjoa, Ismail Khalil (eds.)
|
246 |
3 |
|
|a DaWaK 2020
|
264 |
|
1 |
|a Cham, Switzerland
|b Springer
|c [2020]
|
300 |
|
|
|a 1 online resource.
|
336 |
|
|
|a text
|2 rdacontent
|
337 |
|
|
|a computer
|2 rdamedia
|
338 |
|
|
|a online resource
|2 rdacarrier
|
490 |
1 |
|
|a Lecture Notes in Computer Science Ser. ;
|v v.12393
|
500 |
|
|
|a 2.2 Propositional Logic and SAT Problem
|
505 |
0 |
|
|a Intro -- Preface -- Organization -- Contents -- Position Paper -- Analyzing the Research Landscape of DaWaK Papers from 1999 to 2019 -- 1 Introduction -- 2 Experiment Design -- 2.1 Data Collection -- 2.2 Analysis Methods -- 3 Results -- 3.1 Co-words Map Analysis -- 3.2 Topic Analysis -- 3.3 Topic Trends Analysis -- 3.4 DaWaK Research Paper Metrics -- 4 Discussion and Conclusion -- References -- Applications -- DHE2: Distributed Hybrid Evolution Engine for Performance Optimizations of Computationally Intensive Applications -- 1 Introduction -- 2 Related Work -- 3 Methodology
|
505 |
8 |
|
|a 3.1 The Proposed Hybrid Evolutionary Algorithms -- 3.2 Algorithm. Avoiding Local Optimum for Clustering -- 4 Distributed Hybrid Evolution Engine Architecture -- 5 Result Analysis -- 6 Conclusions and Future Work -- References -- Grand Reports: A Tool for Generalizing Association Rule Mining to Numeric Target Values -- 1 Introduction -- 2 Grand Reports -- 3 Association Rule Mining (ARM) -- 4 The Proposed Tool -- 4.1 Development and Functionalities -- 4.2 Comparison and Advantages -- 5 Conclusion -- References -- Expected vs. Unexpected: Selecting Right Measures of Interestingness -- 1 Introduction
|
505 |
8 |
|
|a 2 Expectedness and Unexpectedness in ARM -- 2.1 Objective Measures of Interestingness for Expected Association Rules -- 2.2 Subjective Measures of Interestingness for Unexpected Association Rules -- 2.3 Semantic Measures of Interestingness -- 3 Properties for Selecting Objective Measures of Interestingness -- 3.1 Towards Selecting Optimal Measures of Interestingness -- 4 Conclusion -- References -- SONDER: A Data-Driven Methodology for Designing Net-Zero Energypg Public Buildings -- 1 Introduction -- 2 SONDER Methodology for Designing nZeB Solutions -- 3 SONDER and ML as a Service for nZEBs
|
505 |
8 |
|
|a 4 Conclusion -- References -- Reverse Engineering Approach for NoSQL Databases -- 1 Introduction -- 2 Related Work -- 3 Reverse Engineering Process -- 3.1 Source: Physical Model -- 3.2 Target: Conceptual Model -- 3.3 Transformation Algorithms -- 4 Experiments -- 4.1 Implantation of the ToConceptualModel Process -- 4.2 Comparison -- 5 Conclusion and Future Work -- References -- Big Data/Data Lake -- handle -- A Generic Metadata Model for Data Lakes -- 1 Introduction -- 2 Related Work: Discussion of Existent Metadata Models -- 2.1 Assessing the Basis of Existent Models
|
505 |
8 |
|
|a 2.2 Metadata Management Use Case for Model Evaluation -- 2.3 Assessing the Generic Extent of the Existent Models -- 3 Requirements for a Generic Metadata Model -- 4 handle -- A Generic Metadata Model -- 5 handle Assessment -- 5.1 handle Demonstration on Access-Use-Case -- 5.2 Prototypical Implementation -- 5.3 Fulfillment of Requirements -- 5.4 Comparison to Existent Models -- 6 Conclusion -- References -- Data Mining -- A SAT-Based Approach for Mining High Utility Itemsets from Transaction Databases -- 1 Introduction -- 2 Preliminaries -- 2.1 High Utility Itemset Mining
|
650 |
|
0 |
|a Big data
|v Congresses.
|
650 |
|
0 |
|a Data mining
|v Congresses.
|
650 |
|
0 |
|a Database management.
|
650 |
|
0 |
|a Application software.
|
650 |
|
0 |
|a Education
|x Data processing.
|
650 |
|
0 |
|a Computer architecture.
|
650 |
|
0 |
|a Information organization.
|
650 |
|
0 |
|a Information storage and retrieval systems.
|
655 |
|
4 |
|a Electronic books.
|
700 |
1 |
|
|a Song, Min
|c (Computer scientist)
|
700 |
1 |
|
|a Song, Il-Yeol.
|
700 |
1 |
|
|a Kotsis, Gabriele
|d 1967-
|
700 |
1 |
|
|a Tjoa, A Min.
|
700 |
1 |
|
|a Khalil, Ismail
|d 1960-
|
830 |
|
0 |
|a Lecture notes in computer science ;
|v 12393.
|
859 |
|
|
|a ELD
|b ebook
|
884 |
|
|
|a LDL ebooks ONIX to marcxml transformation using Record_Load-eBooks_Legal_Deposit_onix2marc_v2-1.xsl
|g 20200911
|k com.springer.onix.9783030590659
|q Uk
|
889 |
|
|
|a (OCoLC)1197546571
|
980 |
|
|
|a 019934593
|b 180
|c sid-180-col-bnbfidbbi
|
SOLR
_version_ |
1778756514206449664 |
access_facet |
Electronic Resources |
author2 |
Song, Min (Computer scientist), Song, Il-Yeol., Kotsis, Gabriele, Tjoa, A Min., Khalil, Ismail |
author2_role |
, , , , |
author2_variant |
m s ms, i y s iys, g k gk, a m t am amt, i k ik |
author_corporate |
DaWaK (Conference) (22nd : 2020 : Online) |
author_corporate_role |
|
author_facet |
Song, Min (Computer scientist), Song, Il-Yeol., Kotsis, Gabriele, Tjoa, A Min., Khalil, Ismail, DaWaK (Conference) (22nd : 2020 : Online) |
author_sort |
DaWaK (Conference) Online) |
building |
Library A |
callnumber-first |
Q - Science |
callnumber-label |
QA76 |
callnumber-raw |
QA76.9.D3 S66 2020 |
callnumber-search |
QA76.9.D3 S66 2020 |
callnumber-sort |
QA 276.9 D3 S66 42020 |
callnumber-subject |
QA - Mathematics |
collection |
sid-180-col-bnbfidbbi |
contents |
Intro -- Preface -- Organization -- Contents -- Position Paper -- Analyzing the Research Landscape of DaWaK Papers from 1999 to 2019 -- 1 Introduction -- 2 Experiment Design -- 2.1 Data Collection -- 2.2 Analysis Methods -- 3 Results -- 3.1 Co-words Map Analysis -- 3.2 Topic Analysis -- 3.3 Topic Trends Analysis -- 3.4 DaWaK Research Paper Metrics -- 4 Discussion and Conclusion -- References -- Applications -- DHE2: Distributed Hybrid Evolution Engine for Performance Optimizations of Computationally Intensive Applications -- 1 Introduction -- 2 Related Work -- 3 Methodology, 3.1 The Proposed Hybrid Evolutionary Algorithms -- 3.2 Algorithm. Avoiding Local Optimum for Clustering -- 4 Distributed Hybrid Evolution Engine Architecture -- 5 Result Analysis -- 6 Conclusions and Future Work -- References -- Grand Reports: A Tool for Generalizing Association Rule Mining to Numeric Target Values -- 1 Introduction -- 2 Grand Reports -- 3 Association Rule Mining (ARM) -- 4 The Proposed Tool -- 4.1 Development and Functionalities -- 4.2 Comparison and Advantages -- 5 Conclusion -- References -- Expected vs. Unexpected: Selecting Right Measures of Interestingness -- 1 Introduction, 2 Expectedness and Unexpectedness in ARM -- 2.1 Objective Measures of Interestingness for Expected Association Rules -- 2.2 Subjective Measures of Interestingness for Unexpected Association Rules -- 2.3 Semantic Measures of Interestingness -- 3 Properties for Selecting Objective Measures of Interestingness -- 3.1 Towards Selecting Optimal Measures of Interestingness -- 4 Conclusion -- References -- SONDER: A Data-Driven Methodology for Designing Net-Zero Energypg Public Buildings -- 1 Introduction -- 2 SONDER Methodology for Designing nZeB Solutions -- 3 SONDER and ML as a Service for nZEBs, 4 Conclusion -- References -- Reverse Engineering Approach for NoSQL Databases -- 1 Introduction -- 2 Related Work -- 3 Reverse Engineering Process -- 3.1 Source: Physical Model -- 3.2 Target: Conceptual Model -- 3.3 Transformation Algorithms -- 4 Experiments -- 4.1 Implantation of the ToConceptualModel Process -- 4.2 Comparison -- 5 Conclusion and Future Work -- References -- Big Data/Data Lake -- handle -- A Generic Metadata Model for Data Lakes -- 1 Introduction -- 2 Related Work: Discussion of Existent Metadata Models -- 2.1 Assessing the Basis of Existent Models, 2.2 Metadata Management Use Case for Model Evaluation -- 2.3 Assessing the Generic Extent of the Existent Models -- 3 Requirements for a Generic Metadata Model -- 4 handle -- A Generic Metadata Model -- 5 handle Assessment -- 5.1 handle Demonstration on Access-Use-Case -- 5.2 Prototypical Implementation -- 5.3 Fulfillment of Requirements -- 5.4 Comparison to Existent Models -- 6 Conclusion -- References -- Data Mining -- A SAT-Based Approach for Mining High Utility Itemsets from Transaction Databases -- 1 Introduction -- 2 Preliminaries -- 2.1 High Utility Itemset Mining |
dewey-full |
005.74 |
dewey-hundreds |
000 - Computer science, information & general works |
dewey-ones |
005 - Computer programming, programs & data |
dewey-raw |
005.74 |
dewey-search |
005.74 |
dewey-sort |
15.74 |
dewey-tens |
000 - Computer science, knowledge & systems |
doi_str_mv |
10.1007/978-3-030-59065-9 |
facet_avail |
Online |
finc_class_facet |
Informatik, Mathematik |
fincclass_txtF_mv |
science-computerscience |
footnote |
2.2 Propositional Logic and SAT Problem |
format |
eBook |
format_access_txtF_mv |
Book, E-Book |
format_de105 |
Ebook |
format_de14 |
Book, E-Book |
format_de15 |
Book, E-Book |
format_del152 |
Buch |
format_detail_txtF_mv |
text-online-monograph-independent |
format_dezi4 |
e-Book |
format_finc |
Book, E-Book |
format_legacy |
ElectronicBook |
format_legacy_nrw |
Book, E-Book |
format_nrw |
Book, E-Book |
format_strict_txtF_mv |
E-Book |
genre |
Electronic books. |
genre_facet |
Congresses., Electronic books. |
geogr_code |
not assigned |
geogr_code_person |
not assigned |
id |
180-019934593 |
illustrated |
Not Illustrated |
imprint |
Cham, Switzerland, Springer, [2020] |
imprint_str_mv |
Cham, Switzerland Springer [2020] |
institution |
FID-BBI-DE-23 |
is_hierarchy_id |
|
is_hierarchy_title |
|
isbn |
9783030590659, 3030590658 |
isbn_isn_mv |
9783030590642 |
isil_str_mv |
FID-BBI-DE-23 |
language |
English |
last_indexed |
2023-10-03T17:33:21.712Z |
marc024a_ct_mv |
10.1007/978-3-030-59065-9, 10.1007/978-3-030-59 |
match_str |
song2020bigdataanalyticsandknowledgediscovery22ndinternationalconferencedawak2020bratislavaslovakiaseptember14172020proceedings |
mega_collection |
British National Bibliography |
physical |
1 online resource |
publishDate |
[2020] |
publishDateSort |
2020 |
publishPlace |
Cham, Switzerland |
publisher |
Springer |
record_format |
marcfinc |
record_id |
019934593 |
recordtype |
marcfinc |
rvk_facet |
No subject assigned |
series |
Lecture notes in computer science, 12393 |
series2 |
Lecture Notes in Computer Science Ser ; v.12393 |
source_id |
180 |
spelling |
DaWaK (Conference) (22nd : 2020 : Online), Big data analytics and knowledge discovery 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings Min Song, Il-Yeol Song, Gabriele Kotsis, A Min Tjoa, Ismail Khalil (eds.), DaWaK 2020, Cham, Switzerland Springer [2020], 1 online resource., text rdacontent, computer rdamedia, online resource rdacarrier, Lecture Notes in Computer Science Ser. ; v.12393, 2.2 Propositional Logic and SAT Problem, Intro -- Preface -- Organization -- Contents -- Position Paper -- Analyzing the Research Landscape of DaWaK Papers from 1999 to 2019 -- 1 Introduction -- 2 Experiment Design -- 2.1 Data Collection -- 2.2 Analysis Methods -- 3 Results -- 3.1 Co-words Map Analysis -- 3.2 Topic Analysis -- 3.3 Topic Trends Analysis -- 3.4 DaWaK Research Paper Metrics -- 4 Discussion and Conclusion -- References -- Applications -- DHE2: Distributed Hybrid Evolution Engine for Performance Optimizations of Computationally Intensive Applications -- 1 Introduction -- 2 Related Work -- 3 Methodology, 3.1 The Proposed Hybrid Evolutionary Algorithms -- 3.2 Algorithm. Avoiding Local Optimum for Clustering -- 4 Distributed Hybrid Evolution Engine Architecture -- 5 Result Analysis -- 6 Conclusions and Future Work -- References -- Grand Reports: A Tool for Generalizing Association Rule Mining to Numeric Target Values -- 1 Introduction -- 2 Grand Reports -- 3 Association Rule Mining (ARM) -- 4 The Proposed Tool -- 4.1 Development and Functionalities -- 4.2 Comparison and Advantages -- 5 Conclusion -- References -- Expected vs. Unexpected: Selecting Right Measures of Interestingness -- 1 Introduction, 2 Expectedness and Unexpectedness in ARM -- 2.1 Objective Measures of Interestingness for Expected Association Rules -- 2.2 Subjective Measures of Interestingness for Unexpected Association Rules -- 2.3 Semantic Measures of Interestingness -- 3 Properties for Selecting Objective Measures of Interestingness -- 3.1 Towards Selecting Optimal Measures of Interestingness -- 4 Conclusion -- References -- SONDER: A Data-Driven Methodology for Designing Net-Zero Energypg Public Buildings -- 1 Introduction -- 2 SONDER Methodology for Designing nZeB Solutions -- 3 SONDER and ML as a Service for nZEBs, 4 Conclusion -- References -- Reverse Engineering Approach for NoSQL Databases -- 1 Introduction -- 2 Related Work -- 3 Reverse Engineering Process -- 3.1 Source: Physical Model -- 3.2 Target: Conceptual Model -- 3.3 Transformation Algorithms -- 4 Experiments -- 4.1 Implantation of the ToConceptualModel Process -- 4.2 Comparison -- 5 Conclusion and Future Work -- References -- Big Data/Data Lake -- handle -- A Generic Metadata Model for Data Lakes -- 1 Introduction -- 2 Related Work: Discussion of Existent Metadata Models -- 2.1 Assessing the Basis of Existent Models, 2.2 Metadata Management Use Case for Model Evaluation -- 2.3 Assessing the Generic Extent of the Existent Models -- 3 Requirements for a Generic Metadata Model -- 4 handle -- A Generic Metadata Model -- 5 handle Assessment -- 5.1 handle Demonstration on Access-Use-Case -- 5.2 Prototypical Implementation -- 5.3 Fulfillment of Requirements -- 5.4 Comparison to Existent Models -- 6 Conclusion -- References -- Data Mining -- A SAT-Based Approach for Mining High Utility Itemsets from Transaction Databases -- 1 Introduction -- 2 Preliminaries -- 2.1 High Utility Itemset Mining, Big data Congresses., Data mining Congresses., Database management., Application software., Education Data processing., Computer architecture., Information organization., Information storage and retrieval systems., Electronic books., Song, Min (Computer scientist), Song, Il-Yeol., Kotsis, Gabriele 1967-, Tjoa, A Min., Khalil, Ismail 1960-, Lecture notes in computer science ; 12393., ELD ebook, LDL ebooks ONIX to marcxml transformation using Record_Load-eBooks_Legal_Deposit_onix2marc_v2-1.xsl 20200911 com.springer.onix.9783030590659 Uk, (OCoLC)1197546571 |
spellingShingle |
Big data analytics and knowledge discovery: 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings, Lecture notes in computer science, 12393, Intro -- Preface -- Organization -- Contents -- Position Paper -- Analyzing the Research Landscape of DaWaK Papers from 1999 to 2019 -- 1 Introduction -- 2 Experiment Design -- 2.1 Data Collection -- 2.2 Analysis Methods -- 3 Results -- 3.1 Co-words Map Analysis -- 3.2 Topic Analysis -- 3.3 Topic Trends Analysis -- 3.4 DaWaK Research Paper Metrics -- 4 Discussion and Conclusion -- References -- Applications -- DHE2: Distributed Hybrid Evolution Engine for Performance Optimizations of Computationally Intensive Applications -- 1 Introduction -- 2 Related Work -- 3 Methodology, 3.1 The Proposed Hybrid Evolutionary Algorithms -- 3.2 Algorithm. Avoiding Local Optimum for Clustering -- 4 Distributed Hybrid Evolution Engine Architecture -- 5 Result Analysis -- 6 Conclusions and Future Work -- References -- Grand Reports: A Tool for Generalizing Association Rule Mining to Numeric Target Values -- 1 Introduction -- 2 Grand Reports -- 3 Association Rule Mining (ARM) -- 4 The Proposed Tool -- 4.1 Development and Functionalities -- 4.2 Comparison and Advantages -- 5 Conclusion -- References -- Expected vs. Unexpected: Selecting Right Measures of Interestingness -- 1 Introduction, 2 Expectedness and Unexpectedness in ARM -- 2.1 Objective Measures of Interestingness for Expected Association Rules -- 2.2 Subjective Measures of Interestingness for Unexpected Association Rules -- 2.3 Semantic Measures of Interestingness -- 3 Properties for Selecting Objective Measures of Interestingness -- 3.1 Towards Selecting Optimal Measures of Interestingness -- 4 Conclusion -- References -- SONDER: A Data-Driven Methodology for Designing Net-Zero Energypg Public Buildings -- 1 Introduction -- 2 SONDER Methodology for Designing nZeB Solutions -- 3 SONDER and ML as a Service for nZEBs, 4 Conclusion -- References -- Reverse Engineering Approach for NoSQL Databases -- 1 Introduction -- 2 Related Work -- 3 Reverse Engineering Process -- 3.1 Source: Physical Model -- 3.2 Target: Conceptual Model -- 3.3 Transformation Algorithms -- 4 Experiments -- 4.1 Implantation of the ToConceptualModel Process -- 4.2 Comparison -- 5 Conclusion and Future Work -- References -- Big Data/Data Lake -- handle -- A Generic Metadata Model for Data Lakes -- 1 Introduction -- 2 Related Work: Discussion of Existent Metadata Models -- 2.1 Assessing the Basis of Existent Models, 2.2 Metadata Management Use Case for Model Evaluation -- 2.3 Assessing the Generic Extent of the Existent Models -- 3 Requirements for a Generic Metadata Model -- 4 handle -- A Generic Metadata Model -- 5 handle Assessment -- 5.1 handle Demonstration on Access-Use-Case -- 5.2 Prototypical Implementation -- 5.3 Fulfillment of Requirements -- 5.4 Comparison to Existent Models -- 6 Conclusion -- References -- Data Mining -- A SAT-Based Approach for Mining High Utility Itemsets from Transaction Databases -- 1 Introduction -- 2 Preliminaries -- 2.1 High Utility Itemset Mining, Big data Congresses., Data mining Congresses., Database management., Application software., Education Data processing., Computer architecture., Information organization., Information storage and retrieval systems., Electronic books. |
title |
Big data analytics and knowledge discovery: 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings |
title_alt |
DaWaK 2020 |
title_auth |
Big data analytics and knowledge discovery 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings |
title_full |
Big data analytics and knowledge discovery 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings Min Song, Il-Yeol Song, Gabriele Kotsis, A Min Tjoa, Ismail Khalil (eds.) |
title_fullStr |
Big data analytics and knowledge discovery 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings Min Song, Il-Yeol Song, Gabriele Kotsis, A Min Tjoa, Ismail Khalil (eds.) |
title_full_unstemmed |
Big data analytics and knowledge discovery 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings Min Song, Il-Yeol Song, Gabriele Kotsis, A Min Tjoa, Ismail Khalil (eds.) |
title_in_hierarchy |
12393.. Big data analytics and knowledge discovery: 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings ([2020]) |
title_short |
Big data analytics and knowledge discovery |
title_sort |
big data analytics and knowledge discovery 22nd international conference dawak 2020 bratislava slovakia september 14 17 2020 proceedings |
title_sub |
22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings |
topic |
Big data Congresses., Data mining Congresses., Database management., Application software., Education Data processing., Computer architecture., Information organization., Information storage and retrieval systems., Electronic books. |
topic_facet |
Big data, Data mining, Database management., Application software., Education, Computer architecture., Information organization., Information storage and retrieval systems., Data processing., Electronic books. |