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Research on Analytic Model of Project Chain Risk Elements Transmission Based on Risk Ranking Method and Data Mining

Cun Bin Li, Wei Dong, Shuai Shuai Lin
2016 International Journal of Multimedia and Ubiquitous Engineering  
Then, for ranking both probabilistic type and fuzzy type risk elements, probability and fuzzy numbers were transformed to interval numbers and ranking score was calculated by a ranking method.  ...  Risk management in project chain or multi-project is becoming a hot spot in the field of project management, however the analysis of project chain risk elements transmission almost stays in the angle of  ...  management to acquire the transcendental and objective data from historical database.  ... 
doi:10.14257/ijmue.2016.11.11.32 fatcat:ort5gntxdrafhhlrtojn2mi33m

Mining Uncertain and Probabilistic Data: problems, Challenges, Methods, and Applications

Jian Pei, Ming Hua
2008 Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD 08  
-Answering ranking queries on probabilistic databases can be very costly when the number of possible worlds is huge Query Types • How are tuples ranked?  ...  Uncertain ObjectsObjects are fuzzy/uncertain, clusters can be certain or fuzzy -A fuzzy object can be represented by a probability density function or a set of instances - t 1 .Problem=q)=  ... 
doi:10.1145/1401890.1551568 fatcat:lg2jfeisqfeeda5pbtzugy4jzu

A Method of Computing with Words to Answer Queries in Relational Database

Smita Rajpal
2010 International Journal of Computer Applications  
So in this Paper Author is suggesting a new method called as α-CWequality Search to answer the queries of Relational database based on ranks.  ...  Zadeh [1] in 1996 to find the most suitable match for the predicates to answer any imprecise query made by the database users. The method is based on the theory of Computing with Words (CW).  ...  Probabilistic relational Data are defined in two ways, Database is deterministic and Query answers are probabilistic or Database is probabilistic and Query answers are probabilistic.  ... 
doi:10.5120/1628-2189 fatcat:2wzcek5wvje7tdrgfhzgadrjly

Supporting ranked Boolean similarity queries in MARS

M. Ortega, Y. Rui, K. Chakrabarti, K. Porkaew, S. Mehrotra, T.S. Huang
1998 IEEE Transactions on Knowledge and Data Engineering  
This paper describes how these techniques can be adapted for ranked retrieval over image databases.  ...  In this paper, we concentrate on the retrieval subsystem of MARS and its support for content-based queries over image databases.  ...  We thank Alex Warshavsky for his help in implementing diverse similarity functions.  ... 
doi:10.1109/69.738357 fatcat:6qc5sfclozcjjb7tmr747qd52y

Supporting similarity queries in MARS

Michael Ortega, Yong Rui, Kaushik Chakrabarti, Sharad Mehrotra, Thomas S. Huang
1997 Proceedings of the fifth ACM international conference on Multimedia - MULTIMEDIA '97  
This paper describes how these techniques can be adapted for ranked retrieval over image databases.  ...  In this paper, we concentrate on the retrieval subsystem of MARS and its support for content-based queries over image databases.  ...  Each node in the tree provides to its parent a ranked list of images, where the ranking corresponds to the degree of membership in the fuzzy model, or the measure of probability in the probabilistic model  ... 
doi:10.1145/266180.266394 dblp:conf/mm/OrtegaRCMH97 fatcat:hr4uplnaurb6bkfxz4i6itp2jm

Visualizing Group Structure

Marcus Held, Jan Puzicha, Joachim M. Buhmann
1998 Neural Information Processing Systems  
It is based on a statistical model of the object assignments which have been observed or estimated by a probabilistic clustering procedure.  ...  In particular, probabilistic descriptions of the group structure, essential to capture inter-cluster relationships, are hardly assessable by simple inspection ofthe probabilistic assignment variables.  ...  It is worth mentioning that the rank-order of the assignments of objects i to clusters (}' is completely preserved.  ... 
dblp:conf/nips/HeldPB98 fatcat:zdun3zkllbfmvcqfjz3fxzeoze

A Methods of Neutrosophic Logia to Answer Queries in Relational Database

Smita Rajpal, M.N. Doja, Ranjit Biswas
2008 Journal of Computer Science  
So in this study Authors are suggesting a new method called as -Neutrosophic-equality Search to answer the queries of Relational database based on ranks.  ...  In this study the authors propose a new method of intelligent search called Neutrosophicsearch to find the most suitable match for the predicates to answer any imprecise query made by the database users  ...  Probabilistic relational Data are defined in two ways, Database is deterministic and Query answers are probabilistic or Database is probabilistic and Query answers are probabilistic.  ... 
doi:10.3844/jcssp.2008.309.314 fatcat:c463iwdo3jbh7eejzsfkmxyupy

Another View on Optimization as Probabilistic Inference

Felix Gonsior, Nico Piatkowski, Katharina Morik
2019 Lernen, Wissen, Daten, Analysen  
We convert an optimization model for Boolean Matrix Factorization (BMF) into a Bayesian probabilistic model by plugging it into a probabilistic context.  ...  With mismatched factorization rank, the information about the rank mismatch is carried in the probabilistic uncertainty but not in the fuzzy assignment.  ...  In this way probabilistic uncertainty adds valuable information which cannot be obtained by only looking at fuzzy assignments.  ... 
dblp:conf/lwa/GonsiorPM19 fatcat:nwxuuqfjsnbvtb7z3nxkfsdf3u

Deployment Of Neutrosophic Technology To Retrieve Answer For Queries Posed In Natural Language

Meena Arora, Ranjit Biswas
2012 Zenodo  
In this paper, we have we have introduced a new intelligent soft-computing method of neutrosophic search with ranks and a new neutrosophic rank sets for neutrosophic relational data model (NRDM).  ...  Essentially the data and documents on the Web are heterogeneous; inconsistency is unavoidable in Web mining.  ...  Two Types of Probabilistic relational Data are there, Database is deterministic and Query answers are probabilistic or Database is probabilistic and Query answers are probabilistic.  ... 
doi:10.5281/zenodo.34798 fatcat:6wpprllxrnh7hffpqyq6dcqzoq

Fuzzy Integral Based Data Fusion for Protein Function Prediction [chapter]

Yinan Lu, Yan Zhao, Xiaoni Liu, Yong Quan
2011 Lecture Notes in Computer Science  
In this paper, fuzzy integral fusion based on fuzzy measure is used to integrate the probabilistic outputs of different classifiers.  ...  Data fusion using diverse biological data has been applied to predict the protein function in recent years.  ...  Because of the non-additive property, fuzzy measure can reflect both of the importance of different objects and the interactions among objects.  ... 
doi:10.1007/978-3-642-21515-5_68 fatcat:v7jceunesranndcu6lmnb7zyqu

MYSTIQ

Jihad Boulos, Nilesh Dalvi, Bhushan Mandhani, Shobhit Mathur, Chris Re, Dan Suciu
2005 Proceedings of the 2005 ACM SIGMOD international conference on Management of data - SIGMOD '05  
Constraint violations and fuzzy matches between objects generate static probabilities.  ...  constraints; fuzzy matches between objects from different sources may return false positives or negatives.  ... 
doi:10.1145/1066157.1066277 dblp:conf/sigmod/BoulosDMMRS05 fatcat:7gqaqjbuk5cldfvqa6o3njrmka

Deployment of neutrosophic technology to retrieve answer for queries posed in natural language

Meena Arora, Ranjit Biswas
2010 2010 3rd International Conference on Computer Science and Information Technology  
In this paper, we have we have introduced a new intelligent soft-computing method of neutrosophic search with ranks and a new neutrosophic rank sets for neutrosophic relational data model (NRDM).  ...  So in this Paper Authors are suggesting NRDM and Rank Sets to solve the imprecise query based on Rank Neutrosophic search which is a combination -Neutrosophic Proximity search and α-Neutrosophic-equality  ...  Two Types of Probabilistic relational Data are there, Database is deterministic and Query answers are probabilistic or Database is probabilistic and Query answers are probabilistic.  ... 
doi:10.1109/iccsit.2010.5564125 fatcat:ya7idttnezf6ngranqme3dwtmi

Management of data with uncertainties

Christopher Re, Dan Suciu
2007 Proceedings of the sixteenth ACM conference on Conference on information and knowledge management - CIKM '07  
Thus, database systems are deterministic. A row is either in the database or is not; a tuple is either in the query answer or is not.  ...  Since their invention in the early 70s, relational databases have been deterministic.  ...  INSTANCES OF UNCERTAIN DATA In fuzzy object matching the problem is to reconcile objects from two collections that have used different naming conventions.  ... 
doi:10.1145/1321440.1321442 dblp:conf/cikm/ReS07 fatcat:zwrbcsjpf5cbfbmfburmxvkkh4

Handling Uncertainty in Database: An Introduction and Brief Survey

Nermin Abdel-Hakim Othman, Ahmed Sharaf Eldin, Doaa Saad El Zanfaly
2015 Computer and Information Science  
The aim of this paper is twofold: on one hand, to introduce some main concepts of uncertainty in database by focusing on different data management issues in uncertain databases such as join and query processing  ...  The aim of this paper is twofold: the first is an introduction to the main concepts of handling uncertainty in database.  ...  (Cormode, Li, & Yi, 2009 ) used the expected ranks as a way to rank objects in a probabilistic database.  ... 
doi:10.5539/cis.v8n3p119 fatcat:z4yofk2dofeylgkzltl7qhxi3u

A survey in traditional information retrieval models

Hai Dong, Farookh Khadeer Hussain, Elizabeth Chang
2008 2008 2nd IEEE International Conference on Digital Ecosystems and Technologies  
Index Terms-index-term based information retrieval models, Boolean models, algebraic models, probabilistic models.  ...  In this paper, we survey the traditional information retrieval models by categorizing them into three main classes and eleven subclasses, and analyse their benefits and issues of them.  ...  Benefits and issues of probabilistic model In the probabilistic model, documents are ranked in decreasing order of their probability of being relevant.  ... 
doi:10.1109/dest.2008.4635214 fatcat:azzki4wfq5drbk7p2yds63a2vi
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