國立虎尾科技大學 |

Mining Data for Financial Applications = 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Mining Data for Financial Applications/ edited by Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Stefano Pascolutti, Giovanni Ponti.
其他題名:	4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers /
其他作者:	Bitetta, Valerio.
面頁冊數:	IX, 133 p. 37 illus., 27 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-37720-5
ISBN:	9783030377205

Mining Data for Financial Applications = 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers /
Mining Data for Financial Applications4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers /[electronic resource] :edited by Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Stefano Pascolutti, Giovanni Ponti. - 1st ed. 2020. - IX, 133 p. 37 illus., 27 illus. in color.online resource. - Lecture Notes in Artificial Intelligence ;11985. - Lecture Notes in Artificial Intelligence ;9285.

MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning -- Curriculum Learning in Deep Neural Networks for Financial Forecasting -- Representation Learning in Graphs for Credit Card Fraud Detection -- Firms Default Prediction with Machine Learning -- Convolutional Neural Networks, Image Recognition and Financial Time Series Forecasting -- Mining Business Relationships from Stocks and News -- Mining Financial Risk Events from News and Assessing their impact on Stocks -- Monitoring the Business Cycle with Fine-grained, Aspect-based Sentiment Extraction from News -- Multi-step Prediction of Financial Asset Return Volatility Using Parsimonious Autoregressive Sequential Model -- Big Data Financial Sentiment Analysis in the European Bond Markets -- A Brand Scoring System for Cryptocurrencies Based on Social Media Data.

This book constitutes revised selected papers from the 4th Workshop on Mining Data for Financial Applications, MIDAS 2019, held in conjunction with ECML PKDD 2019, in Würzburg, Germany, in September 2019. The 8 full and 3 short papers presented in this volume were carefully reviewed and selected from 16 submissions. They deal with challenges, potentialities, and applications of leveraging data-mining tasks regarding problems in the financial domain.

ISBN: 9783030377205

Standard No.: 10.1007/978-3-030-37720-5doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Mining Data for Financial Applications = 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers /
LDR:02862nam a22004095i 4500 001 1023296
003 DE-He213
005 20200702031915.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030377205 $9 978-3-030-37720-5
024 7 $a 10.1007/978-3-030-37720-5 $2 doi
035 $a 978-3-030-37720-5
050 4 $a Q334-342
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Mining Data for Financial Applications $h [electronic resource] : $b 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers / $c edited by Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Stefano Pascolutti, Giovanni Ponti.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a IX, 133 p. 37 illus., 27 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Artificial Intelligence ; $v 11985
505 0 $a MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning -- Curriculum Learning in Deep Neural Networks for Financial Forecasting -- Representation Learning in Graphs for Credit Card Fraud Detection -- Firms Default Prediction with Machine Learning -- Convolutional Neural Networks, Image Recognition and Financial Time Series Forecasting -- Mining Business Relationships from Stocks and News -- Mining Financial Risk Events from News and Assessing their impact on Stocks -- Monitoring the Business Cycle with Fine-grained, Aspect-based Sentiment Extraction from News -- Multi-step Prediction of Financial Asset Return Volatility Using Parsimonious Autoregressive Sequential Model -- Big Data Financial Sentiment Analysis in the European Bond Markets -- A Brand Scoring System for Cryptocurrencies Based on Social Media Data.
520 $a This book constitutes revised selected papers from the 4th Workshop on Mining Data for Financial Applications, MIDAS 2019, held in conjunction with ECML PKDD 2019, in Würzburg, Germany, in September 2019. The 8 full and 3 short papers presented in this volume were carefully reviewed and selected from 16 submissions. They deal with challenges, potentialities, and applications of leveraging data-mining tasks regarding problems in the financial domain.
650 0 $a Artificial intelligence. $3 559380
650 0 $a Optical data processing. $3 639187
650 0 $a Computer organization. $3 596298
650 0 $a Computers. $3 565115
650 0 $a E-commerce. $2 gtt $3 654932
650 0 $a Application software. $3 528147
650 1 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Image Processing and Computer Vision. $3 670819
650 2 4 $a Computer Systems Organization and Communication Networks. $3 669309
650 2 4 $a Information Systems and Communication Service. $3 669203
650 2 4 $a e-Commerce/e-business. $3 768697
650 2 4 $a Computer Appl. in Social and Behavioral Sciences. $3 669920
700 1 $a Bitetta, Valerio. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1310093
700 1 $a Bordino, Ilaria. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1310094
700 1 $a Ferretti, Andrea. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1310095
700 1 $a Gullo, Francesco. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1310096
700 1 $a Pascolutti, Stefano. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1310097
700 1 $a Ponti, Giovanni. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1319182
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030377199
776 0 8 $i Printed edition: $z 9783030377212
830 0 $a Lecture Notes in Artificial Intelligence ; $v 9285 $3 1253845
856 4 0 $u https://doi.org/10.1007/978-3-030-37720-5
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)