語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Data-driven process discovery and an...
~
Rinderle-Ma, Stefanie.
Data-driven process discovery and analysis = 5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015 : revised selected papers /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Data-driven process discovery and analysis/ edited by Paolo Ceravolo, Stefanie Rinderle-Ma.
其他題名:
5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015 : revised selected papers /
其他題名:
SIMPDA 2015
其他作者:
Ceravolo, Paolo.
團體作者:
Workshop on the Preservation of Stability under Discretization
出版者:
Cham :Springer International Publishing : : 2017.,
面頁冊數:
ix, 185 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Data mining - Congresses. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-53435-0
ISBN:
9783319534350
Data-driven process discovery and analysis = 5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015 : revised selected papers /
Data-driven process discovery and analysis
5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015 : revised selected papers /[electronic resource] :SIMPDA 2015edited by Paolo Ceravolo, Stefanie Rinderle-Ma. - Cham :Springer International Publishing :2017. - ix, 185 p. :ill., digital ;24 cm. - Lecture notes in business information processing,2441865-1348 ;. - Lecture notes in business information processing ;134..
A Framework for Safety-critical Process Management in Engineering Projects -- Business Process Reporting Using Process Mining, Analytic Workflows and Process Cubes: A Case Study in Education -- Detecting Changes in Process Behavior Using Comparative Case Clustering -- - Using Domain Knowledge to Enhance Process Mining Results -- - Aligning Process Model Terminology with Hypernym Relations -- Time Series Petri Net Models: Enrichment and Prediction -- Visual Analytics Meets Process Mining: Challenges and Opportunities -- A Relational Data Warehouse for Multidimensional Process Mining.
This book constitutes the revised selected papers from the 5th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2015, held in Vienna, Austria in December 2015. The 8 papers presented in this volume were carefully reviewed and selected from 22 submissions. They cover theoretical issues related to process representation, discovery and analysis, or provide practical and operational experiences in process discovery and analysis. They focus mainly on the adoption of process mining algorithms in conjunction and coordination with other techniques and methodologies.
ISBN: 9783319534350
Standard No.: 10.1007/978-3-319-53435-0doiSubjects--Topical Terms:
528575
Data mining
--Congresses.
LC Class. No.: QA76.9.D343
Dewey Class. No.: 006.312
Data-driven process discovery and analysis = 5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015 : revised selected papers /
LDR
:02404nam a2200349 a 4500
001
958258
003
DE-He213
005
20170803144621.0
006
m d
007
cr nn 008maaau
008
201118s2017 gw s 0 eng d
020
$a
9783319534350
$q
(electronic bk.)
020
$a
9783319534343
$q
(paper)
024
7
$a
10.1007/978-3-319-53435-0
$2
doi
035
$a
978-3-319-53435-0
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.D343
072
7
$a
UNF
$2
bicssc
072
7
$a
UYQE
$2
bicssc
072
7
$a
COM021030
$2
bisacsh
082
0 4
$a
006.312
$2
23
090
$a
QA76.9.D343
$b
S612 2015
111
2
$a
Workshop on the Preservation of Stability under Discretization
$d
(2001 :
$c
Fort Collins, Colo.)
$3
527686
245
1 0
$a
Data-driven process discovery and analysis
$h
[electronic resource] :
$b
5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015 : revised selected papers /
$c
edited by Paolo Ceravolo, Stefanie Rinderle-Ma.
246
3
$a
SIMPDA 2015
260
$a
Cham :
$c
2017.
$b
Springer International Publishing :
$b
Imprint: Springer,
300
$a
ix, 185 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Lecture notes in business information processing,
$x
1865-1348 ;
$v
244
505
0
$a
A Framework for Safety-critical Process Management in Engineering Projects -- Business Process Reporting Using Process Mining, Analytic Workflows and Process Cubes: A Case Study in Education -- Detecting Changes in Process Behavior Using Comparative Case Clustering -- - Using Domain Knowledge to Enhance Process Mining Results -- - Aligning Process Model Terminology with Hypernym Relations -- Time Series Petri Net Models: Enrichment and Prediction -- Visual Analytics Meets Process Mining: Challenges and Opportunities -- A Relational Data Warehouse for Multidimensional Process Mining.
520
$a
This book constitutes the revised selected papers from the 5th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2015, held in Vienna, Austria in December 2015. The 8 papers presented in this volume were carefully reviewed and selected from 22 submissions. They cover theoretical issues related to process representation, discovery and analysis, or provide practical and operational experiences in process discovery and analysis. They focus mainly on the adoption of process mining algorithms in conjunction and coordination with other techniques and methodologies.
650
0
$a
Data mining
$v
Congresses.
$3
528575
650
0
$a
Management information systems
$3
578423
650
0
$a
Business
$x
Data processing
$v
Congresses.
$3
675445
$3
735805
650
1 4
$a
Computer Science.
$3
593922
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
677765
650
2 4
$a
Business Process Management.
$3
1066351
650
2 4
$a
Information Systems Applications (incl. Internet)
$3
815116
650
2 4
$a
Computer Appl. in Administrative Data Processing.
$3
669633
700
1
$a
Ceravolo, Paolo.
$3
1066348
700
1
$a
Rinderle-Ma, Stefanie.
$3
796246
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
830
0
$a
Lecture notes in business information processing ;
$v
134.
$3
882834
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-53435-0
950
$a
Computer Science (Springer-11645)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入