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A Review on Clustering of Uncertain Data

2016 International Journal of Science and Research (IJSR)  
By considering the uncertain data for clustering, the results of clustering algorithm get affected and can show any unwanted results.  ...  In such situations, the algorithm must be strong enough to consider the uncertain data because the uncertain data is also important.  ...  Data mining tools access the information from these data reservoirs to generate the pattern to get insight into the data.  ... 
doi:10.21275/v5i5.nov163845 fatcat:cvuc3wokb5cjlahx7wbypdji4a

An uncertain model for RCPSP with solution robustness focusing on logistics project schedule

Hua Ke, Lei Wang, Hu Huang
2015 International Journal of e-Navigation and Maritime Economy  
The specific problem is to develop robust schedule with uncertain activity durations for logistics project.  ...  To solve the problem, an uncertain model is built and an intelligent algorithm based on simulated annealing is designed.  ...  Acknowledgements The work is partially supported by the National Natural Science Foundation of China (No.71371141) and the Fundamental Research Funds for the Central Universities.  ... 
doi:10.1016/j.enavi.2015.12.007 fatcat:kgp4tb2difdc5nblo6fkaumxvu

Make Informed Decisions: Understanding Query Results from Incomplete Databases

Poonam Kumari
2019 Very Large Data Bases Conference  
The aim of this PhD research is to focus on visualizing the imperfections in these datasets in order to help users analyze and interpret data and guide them to make informed decisions.  ...  Analyzing data has been central in making decisions whether it be a decision to buy stock or detect the chances of diabetes based on family history.  ...  Best guess query processing use the best possible world by making an educated guess and work exclusively with guessed world. Suppose best guess approach chooses first instance from fig 1 .  ... 
dblp:conf/vldb/Kumari19 fatcat:tnj3rfklejhbvns2m5ggzfguwm

End-User Probabilistic Programming [chapter]

Judith Borghouts, Andrew D. Gordon, Advait Sarkar, Neil Toronto
2019 Lecture Notes in Computer Science  
We show how uncertain values can propagate uncertainty through spreadsheets, and how sheet-defined functions can be applied to handle uncertainty.  ...  Hence, we draw conclusions about the promise and limitations of probabilistic programming for end-users.  ...  But to go from two to three policies, it's not so clear that you get enough extra benefit from that, from the extra complexity' (P2).  ... 
doi:10.1007/978-3-030-30281-8_1 fatcat:zqq5vff2ujdevcpdfv2n4z4klu

Design and Development of Data Classification Methodology for Uncertain Data

Rashmi Agrawal
2016 Indian Journal of Science and Technology  
In the first algorithm, we used the properties of uncertain data to convert the uncertain data into certain data.  ...  The classification of uncertain data has become one of the tedious processes in the data-mining.  ...  The author's from 20 and 21 have discussed about classification of uncertain data.  ... 
doi:10.17485/ijst/2016/v9i3/72262 fatcat:fbo7a3gwlnd2hkauyb5fs3ycnq

Uncertain Time Series in Weather Prediction

Nabilah Filzah Mohd Radzuan, Zalinda Othman, Azuraliza Abu Bakar
2013 Procedia Technology - Elsevier  
The paper reviews about methods have been implemented on uncertain time series data in weather prediction.  ...  The aim of uncertain time series analysis is to formulate uncertain data in order to gain knowledge, fit low dimensional models, and do prediction.  ...  These situations shown the uncertain time series was very helpful and useful when knowledge had been extracted from the data set, and more researches must be done in order to get proper method of extraction  ... 
doi:10.1016/j.protcy.2013.12.228 fatcat:jmywt2rrxjbwza4r6egroinjsq

Extraction methods for uncertain inference rules by ant colony optimization

Ling Chen, Yun Sun, Yuanguo Zhu
2015 Journal of Uncertainty Analysis and Applications  
In this paper, we design an uncertain system with the extracted uncertain inference rules to solve the classification problems in data mining.  ...  In recent years, the research on data mining methods has received increasing attention.  ...  Acknowledgements This work is supported by the National Natural Science Foundation of China (No.61273009).  ... 
doi:10.1186/s40467-015-0033-9 fatcat:zr3cypbwyvfszf4r25jewqifea

A Case Study of Applying Customer Segmentation in A Medical Equipment Industry

Iqbal Grady Favian, Erma Suryani
2021 IPTEK Journal of Proceedings Series  
The results obtained from this study are four customer segments based on LRFM with each segment given a profile name as: Best, Frequent, Low and Uncertain.  ...  This research uses transaction data of the medical device industry in Indonesia. This data will be extracted for the length, recency, frequency, and monetary (LRFM).  ...  ACKNOWLEDGEMENTS Based on the discussion that has been done in the previous chapters and sub-chapters related to the optimization of the reliability of the turbine gas system based on simulations and calculations  ... 
doi:10.12962/j23546026.y2020i3.11139 fatcat:vb7rzymonnee5ahdrikgy3p3xa

Selecting Visualization Alternative Based on Uncertain Theory

Ping Huang, Zhiying Lv, Liwei Zheng, L. Zhao, A. Xavior, J. Cai, L. You
2017 MATEC Web of Conferences  
First, in order to achieve desirable decision making, a new concept is proposed, which is called the best and the worst reference uncertain linguistic variable as a datum uncertain linguistic variable.  ...  Second, based on the preference order relation of attributes given by the experts, a new score function is introduced to get the weight vector of attributes.  ...  The uncertain linguistic weighted average (ULWA)operator comes from the extended linguistic representation model is defined as: set of all attributes.  ... 
doi:10.1051/matecconf/201710002023 fatcat:ac4pg774wjgwheu3zgsvactouq

Page 40 of American Society of Civil Engineers. Collected Journals Vol. 122, Issue CO1 [page]

1996 American Society of Civil Engineers. Collected Journals  
When an activity duration is uncertain, it is best to estimate its duration in lin- guistic terms, rather than in numeric terms.  ...  Four dif- ferent estimates of the duration of the uncertain activity are obtained from the user (expert scheduler) in linguistic terms, as in the earliest duration to finish the activity, the latest du  ... 

HARMONIZED SCHEME FOR DATA MINING TECHNIQUE TO PROGRESS DECISION SUPPORT SYSTEM IN AN UNCERTAIN SITUATION

B.Swathi .
2012 International Journal of Research in Engineering and Technology  
The proposed system will support top level management to make a good decision in any time under any uncertain environment.  ...  Decision supporting systems include also decisions made upon individual data from external sources, management feeling, and various other data sources not included in business intelligence.  ...  result to create best decision to take a good decision for investment under uncertain situations.  ... 
doi:10.15623/ijret.2012.0103024 fatcat:ri5oqxwldzbejdvnryoeuf7n5a

An Effective Uncertain Data Streams Top-K Query Algorithm

Duan Mingyi, Lu Yinju
2015 Open Automation and Control Systems Journal  
Top-K queries algorithm on uncertain data streams.  ...  This paper first analyzes the uncertain data model and possible world semantic model, and then defines new Top-K queries semantics for uncertain data streams, and finally designs and realizes an effective  ...  CONFLICT OF INTEREST The authors confirm that this article content has no conflict of interest.  ... 
doi:10.2174/1874444301507011549 fatcat:7xjy7gyo7jfx7nvnnin4hlelza

Implementing a Consistency Checker for Uncertain or Incomplete Temporal System

Yue Wang, Jixin Ma, Brian Knight
2013 International Journal of Hybrid Information Technology  
discourses the future work about how to find the best solution of this checker.  ...  approach to temporal reasoning, this paper will see point & typed-based structure of time intervals as an intended model of point & interval-based time theory to illustrate a Consistency Checker for Uncertain  ...  X n " were defined to stand for the unknown numbers, an equation can be constructed to get the best solutions, but how to define the "best" solution to get the best model is still a big problem.  ... 
doi:10.14257/ijhit.2013.6.6.17 fatcat:e6hntcbv55fr7p74gvs3evxgka

Uncertain Unstructured Data Management: Put All Apple in Nine Basket

Manoj Kumar Jain
2015 International Journal of Big Data Security Intelligence  
Big data has already takes place in the industry and, is altering the uncertain unstructured data management dramatically within the industry and its core business processes.  ...  the relationship, seeing the sensitivities, understating the cause and effect, in this paper we are classifying the uncertain Unstructured Big Data Management into nine V's and it's details are:  ...  These type of data we get it from GIS or digital imagery system.  ... 
doi:10.21742/ijbdsi.2015.2.1.01 fatcat:y2vp3oarwvaktjkn4sqfo77qfu

Methods for evaluating adverse drug event preventability in emergency department patients

Stephanie A. Woo, Amber Cragg, Maeve E. Wickham, David Peddie, Ellen Balka, Frank Scheuermeyer, Diane Villanyi, Corinne M. Hohl
2018 BMC Medical Research Methodology  
Qualitative researchers observed discussions, took field notes, and reviewed free text comments made by clinicians in a "comment" box in the data collection form.  ...  Compared to a best practice-based assessment, clinicians believed the algorithm-based assessment was too rigid.  ...  Availability of data and materials The datasets generated and/or analyzed during the current study are not publicly available in accordance with our ethics approval but are available from the corresponding  ... 
doi:10.1186/s12874-018-0617-4 fatcat:druv7bukxfh53jwczzdalj3k5y
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