Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Louiqa Raschid"'
Publikováno v:
IEEE Transactions on Computational Social Systems. :1-14
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 5:642-645
The phenomenal growth in both scale and importance of social media such as blogs, micro-blogs and user-generated content, has created a need for tools that monitor information diffusion and make recommendations within these platforms. An essential el
Publikováno v:
INFORMS Journal on Computing. 31:671-688
Many real-world data sets are modeled as entity relationship graphs or heterogeneous information networks. In these graphs, nodes represent entities and edges mimic relationships. ObjectRank extends the well-known PageRank authority flow–based rank
Publikováno v:
ICAIF
Trading in Over-The-Counter (OTC) markets is facilitated by broker-dealers, in comparison to public exchanges, e.g., the New York Stock Exchange (NYSE). Dealers play an important role in stabilizing prices and providing liquidity in OTC markets. We a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5a0241ab2b1695d22f1cad5412f4a23
Publikováno v:
DSMM@SIGMOD
This research applies machine learning methods, in particular probabilistic topic modeling, to understand patterns of interactions for Over-the-Counter (OTC) trading in corporate bonds. The interactions are between broker-dealers (dealers) and client
Autor:
Louiqa Raschid, Douglas Burdick, Cesar de Pablo, Mark Flood, John Grant, Joe Langsam, Jay Pujara, Elena Tomas, Ian Soboroff
Publikováno v:
Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets.
Publikováno v:
SIGMOD Conference
DSMM 2019 will explore the challenges of macro-modeling with financial and economic datasets. The workshop will also showcase the 2019 Financial Entity Identification and Information Integration (FEIII) Challenge which involves two challenge tasks, o
Publikováno v:
DSMM@SIGMOD
Autor:
Louiqa Raschid, Douglas Burdick, John Grant, Joe Langsam, Jay Pujara, Elizabeth Roman, Ian Soboroff, Mohammed Zaki, Elena Zotkina
Publikováno v:
Proceedings of the Fourth International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets.
Publikováno v:
DSMM@SIGMOD
We identify a set of features that are related to extremes of price changes of individual equities. Our hypothesis is that these extreme features may be used to isolate co-movements of prices for groups of equities, reflecting systematic risk. The eq