business intelligent
Content
Resumen Articulos BI
Articulo 1
Extracting and categorizing business
intelligence factors from textual news
articles
Habla que constantemente las compañías hacen movimientos internos y
externos para la mejora de la empresa, es por eso que ya contratan a personal
para que este únicamente enfocado en BI. Por medio de un sistema, gente
capacitada llena al sistema de mucha información, y el sistema te arroja una
serie de factores que según el perfil de compañía te dice ciertas proyecciones
en el futuro del comportamiento de las cosas. Gente que invierte, financieros y
de BI usan este sistema para evaluar las compañías, si es que son estables y si
sus decisiones están siendo las correctas, si las técnicas aplicadas son las
ideales o no.
References
1.
o
Abbasi et al., 2010
o
A. Abbasi, Z. Zhang, D. Zimbra, H. Chen, J.F. Nunamaker
o
Detecting fake websites: The contribution of statistical
learning theory
o
Management Information Systems Quarterly, 34 (3) (2010), pp. 435–461
o
View Record in Scopus
|
Citing articles (22)
2.
o
Abrahama and Coxb, 2007
o
S. Abrahama, P. Coxb
o
Analysing the determinants of narrative risk information in
UK FTSE 100 annual reports
o
The British Accounting Review, 39 (3) (2007), pp. 227–248
o
3.
o
Baeza-Yates and Ribeiro-Neto, 1999
o
R. Baeza-Yates, B. Ribeiro-Neto
o
Modern information retrieval
o
ACM Press, New York (1999)
o
4.
o
Balakrishnan et al., 2010
o
R. Balakrishnan, X.Y. Qiub, P. Srinivasanc
o
On the predictive ability of narrative disclosures in annual
reports
o
European Journal of Operational Research, 202 (3) (2010), pp. 789–801
o
Article
|
PDF (287 K)
|
View Record in Scopus
|
Citing articles (12)
5.
o
Benjamin et al., 2013
o
V. Benjamin, W. Chung, A. Abbasi, J. Chuang, C.A. Larson, H. Chen
o
Evaluating text visualization: An experiment in authorship
analysis
o
Paper presented at the Proceedings of the IEEE International Conference
on Intelligence and Security Informatics, Seattle, WA (2013)
o
6.
o
Blackhurst et al., 2005
o
J. Blackhurst, C.W. Craighead, D. Elkins, R.B. Handfield
o
An empirically derived agenda of critical research issues
for managing supply-chain disruptions
International Journal of Production Research, 43 (19) (2005), pp. 4067–
o
4081
View Record in Scopus
o
|
Full Text via CrossRef
|
Citing articles (118)
7.
o
Cecchini et al., 2010
o
M. Cecchini, H. Aytug, G.J. Koehler, P. Pathak
o
Making words work: Using financial text as a predictor of
financial events
o
Decision Support Systems, 50 (1) (2010), pp. 164–175
o
Article
|
PDF (924 K)
|
View Record in Scopus
|
Citing articles (13)
8.
o
Chen, 2010
o
K. Chen
o
General knowledge supported news analysis for portfolio
risk prediction
o
Paper presented at the Americas Conference on Information Systems
2010 Proceedings (2010) http://aisel.aisnet.org/amcis2010/245
o
9.
o
Chen et al., 2011
o
K.-T. Chen, H.-M. Lu, T.-J. Chen, S.-H. Li, J.-S. Lian, H. Chen
o
Giving context to accounting numbers: The role of news
coverage
o
Decision Support Systems, 50 (2011)
o
10.
o
Chung, 2010
o
W. Chung
o
Web searching and browsing: A multilingual perspective
o
M.V. Zelkowitz (Ed.), Advances in computers, Vol. 78Elsevier (2010)
o
11.
o
Chung, 2012a
o
W. Chung
o
Categorizing temporal events: A case study of domestic
terrorism
o
Paper presented at the Proceedings of the IEEE International Conference
on Intelligence and Security Informatics, Washington, DC (2012)
o
12.
o
Chung, 2012b
o
W. Chung
o
Managing web repositories in emerging economies: Case
studies of browsing web directories
International Journal of Information Management, 32 (3) (2012), pp. 232–
o
238
Article
o
|
PDF (929 K)
|
View Record in Scopus
|
Citing articles (2)
13.
o
Chung et al., 2005
o
W. Chung, H. Chen, J.F. Nunamaker
o
A visual framework for knowledge discovery on the Web:
An empirical study on business intelligence exploration
o
Journal of Management Information Systems, 21 (4) (2005), pp. 57–84
o
View Record in Scopus
|
Citing articles (82)
14.
o
Chung and Chen, 2012
o
W. Chung, L. Chen
o
Group-buying e-commerce in China
o
IEEE IT Professional, 14 (4) (2012), pp. 24–30
o
View Record in Scopus
|
Citing articles (3)
15.
o
Chung and Tang, 2012
o
W. Chung, W. Tang
o
Building a web collection for online surveillance of U.S.
domestic terrorism
Paper presented at the Proceedings of the IEEE International Conference
o
on Intelligence and Security Informatics, Washington, DC (2012)
o
16.
o
Chung and Tseng, 2012
o
W. Chung, T.-L. Tseng
o
Discovering business intelligence from online product
reviews: A rule-induction framework
o
Expert Systems with Applications, 39 (15) (2012), pp. 11870–11879
o
Article
|
PDF (374 K)
|
View Record in Scopus
|
Citing articles (7)
17.
o
Chung and Zeng, 2013
o
W. Chung, D. Zeng
o
iMood: Discovering U.S. immigration reform sentiment
o
Paper presented at the Proceedings of the 23rd Workshop on Information
Technology and Systems, Milan, Italy (2013)
.
Articulo 2
Intelligent Business Process Management: Hype or Reality?
Este articulo habla que el BI es una colección de metodologías, procesos y
tecnología que transforma una serie de datos de información en algo valioso. El
análisis de datos es lo mas importante en el BI, la conexión de toda la
información hará posible poder tomar mejores decisiones.
Gartner decía que las compañías de tecnologías de información se están
moviendo para mejorar " their business Process Management" con ayuda de la
integración del BI, y que todas estas compañías lograran tener una ventaja
competitiva.
Bibliografia
Gartner. 2013. Magic Quadrants.
Retrieved from www.gartner.com/
technology/research/methodologies/
research_mq.jsp.
2. Sinur J., Schulte, W. R., Hill, J. B., &
Jon, T. 9/27/2012. Magic Quadrant for
Intelligent Business Process Management
Suites. Retrieved from www
.gartner.com/technology/reprints
.do?id=1-1C86TEL&ct=120928&st=sb.
3. Kerremans, M., & Kitson, N. 2012.
Aligning Business Process Management
and Business Intelligence to
AchieveBusiness Process Excellence.
Retrieved from www.capgemini.com/
insights-and-resources/by-publication/
aligning-business-process-management
-and-business-intelligence-to-achieve
-business-process-excellence/
4. Mckinsey Global Institute. 2011.
Big Data: The next frontier for
innovation, completion and
productivity. Retrieved from www
.mckinsey.com/insights/mgi/research/
technology_and_innovation/big
_data_the_next_
Articulo 1
Extracting and categorizing business
intelligence factors from textual news
articles
Habla que constantemente las compañías hacen movimientos internos y
externos para la mejora de la empresa, es por eso que ya contratan a personal
para que este únicamente enfocado en BI. Por medio de un sistema, gente
capacitada llena al sistema de mucha información, y el sistema te arroja una
serie de factores que según el perfil de compañía te dice ciertas proyecciones
en el futuro del comportamiento de las cosas. Gente que invierte, financieros y
de BI usan este sistema para evaluar las compañías, si es que son estables y si
sus decisiones están siendo las correctas, si las técnicas aplicadas son las
ideales o no.
References
1.
o
Abbasi et al., 2010
o
A. Abbasi, Z. Zhang, D. Zimbra, H. Chen, J.F. Nunamaker
o
Detecting fake websites: The contribution of statistical
learning theory
o
Management Information Systems Quarterly, 34 (3) (2010), pp. 435–461
o
View Record in Scopus
|
Citing articles (22)
2.
o
Abrahama and Coxb, 2007
o
S. Abrahama, P. Coxb
o
Analysing the determinants of narrative risk information in
UK FTSE 100 annual reports
o
The British Accounting Review, 39 (3) (2007), pp. 227–248
o
3.
o
Baeza-Yates and Ribeiro-Neto, 1999
o
R. Baeza-Yates, B. Ribeiro-Neto
o
Modern information retrieval
o
ACM Press, New York (1999)
o
4.
o
Balakrishnan et al., 2010
o
R. Balakrishnan, X.Y. Qiub, P. Srinivasanc
o
On the predictive ability of narrative disclosures in annual
reports
o
European Journal of Operational Research, 202 (3) (2010), pp. 789–801
o
Article
|
PDF (287 K)
|
View Record in Scopus
|
Citing articles (12)
5.
o
Benjamin et al., 2013
o
V. Benjamin, W. Chung, A. Abbasi, J. Chuang, C.A. Larson, H. Chen
o
Evaluating text visualization: An experiment in authorship
analysis
o
Paper presented at the Proceedings of the IEEE International Conference
on Intelligence and Security Informatics, Seattle, WA (2013)
o
6.
o
Blackhurst et al., 2005
o
J. Blackhurst, C.W. Craighead, D. Elkins, R.B. Handfield
o
An empirically derived agenda of critical research issues
for managing supply-chain disruptions
International Journal of Production Research, 43 (19) (2005), pp. 4067–
o
4081
View Record in Scopus
o
|
Full Text via CrossRef
|
Citing articles (118)
7.
o
Cecchini et al., 2010
o
M. Cecchini, H. Aytug, G.J. Koehler, P. Pathak
o
Making words work: Using financial text as a predictor of
financial events
o
Decision Support Systems, 50 (1) (2010), pp. 164–175
o
Article
|
PDF (924 K)
|
View Record in Scopus
|
Citing articles (13)
8.
o
Chen, 2010
o
K. Chen
o
General knowledge supported news analysis for portfolio
risk prediction
o
Paper presented at the Americas Conference on Information Systems
2010 Proceedings (2010) http://aisel.aisnet.org/amcis2010/245
o
9.
o
Chen et al., 2011
o
K.-T. Chen, H.-M. Lu, T.-J. Chen, S.-H. Li, J.-S. Lian, H. Chen
o
Giving context to accounting numbers: The role of news
coverage
o
Decision Support Systems, 50 (2011)
o
10.
o
Chung, 2010
o
W. Chung
o
Web searching and browsing: A multilingual perspective
o
M.V. Zelkowitz (Ed.), Advances in computers, Vol. 78Elsevier (2010)
o
11.
o
Chung, 2012a
o
W. Chung
o
Categorizing temporal events: A case study of domestic
terrorism
o
Paper presented at the Proceedings of the IEEE International Conference
on Intelligence and Security Informatics, Washington, DC (2012)
o
12.
o
Chung, 2012b
o
W. Chung
o
Managing web repositories in emerging economies: Case
studies of browsing web directories
International Journal of Information Management, 32 (3) (2012), pp. 232–
o
238
Article
o
|
PDF (929 K)
|
View Record in Scopus
|
Citing articles (2)
13.
o
Chung et al., 2005
o
W. Chung, H. Chen, J.F. Nunamaker
o
A visual framework for knowledge discovery on the Web:
An empirical study on business intelligence exploration
o
Journal of Management Information Systems, 21 (4) (2005), pp. 57–84
o
View Record in Scopus
|
Citing articles (82)
14.
o
Chung and Chen, 2012
o
W. Chung, L. Chen
o
Group-buying e-commerce in China
o
IEEE IT Professional, 14 (4) (2012), pp. 24–30
o
View Record in Scopus
|
Citing articles (3)
15.
o
Chung and Tang, 2012
o
W. Chung, W. Tang
o
Building a web collection for online surveillance of U.S.
domestic terrorism
Paper presented at the Proceedings of the IEEE International Conference
o
on Intelligence and Security Informatics, Washington, DC (2012)
o
16.
o
Chung and Tseng, 2012
o
W. Chung, T.-L. Tseng
o
Discovering business intelligence from online product
reviews: A rule-induction framework
o
Expert Systems with Applications, 39 (15) (2012), pp. 11870–11879
o
Article
|
PDF (374 K)
|
View Record in Scopus
|
Citing articles (7)
17.
o
Chung and Zeng, 2013
o
W. Chung, D. Zeng
o
iMood: Discovering U.S. immigration reform sentiment
o
Paper presented at the Proceedings of the 23rd Workshop on Information
Technology and Systems, Milan, Italy (2013)
.
Articulo 2
Intelligent Business Process Management: Hype or Reality?
Este articulo habla que el BI es una colección de metodologías, procesos y
tecnología que transforma una serie de datos de información en algo valioso. El
análisis de datos es lo mas importante en el BI, la conexión de toda la
información hará posible poder tomar mejores decisiones.
Gartner decía que las compañías de tecnologías de información se están
moviendo para mejorar " their business Process Management" con ayuda de la
integración del BI, y que todas estas compañías lograran tener una ventaja
competitiva.
Bibliografia
Gartner. 2013. Magic Quadrants.
Retrieved from www.gartner.com/
technology/research/methodologies/
research_mq.jsp.
2. Sinur J., Schulte, W. R., Hill, J. B., &
Jon, T. 9/27/2012. Magic Quadrant for
Intelligent Business Process Management
Suites. Retrieved from www
.gartner.com/technology/reprints
.do?id=1-1C86TEL&ct=120928&st=sb.
3. Kerremans, M., & Kitson, N. 2012.
Aligning Business Process Management
and Business Intelligence to
AchieveBusiness Process Excellence.
Retrieved from www.capgemini.com/
insights-and-resources/by-publication/
aligning-business-process-management
-and-business-intelligence-to-achieve
-business-process-excellence/
4. Mckinsey Global Institute. 2011.
Big Data: The next frontier for
innovation, completion and
productivity. Retrieved from www
.mckinsey.com/insights/mgi/research/
technology_and_innovation/big
_data_the_next_
