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A phrase mining framework for recursive construction of a topical hierarchy
2013
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '13
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Our mining framework is based on a phrase-centric view for clustering, extracting, and ranking topical phrases. ...
Experiments with datasets from different domains illustrate our ability to generate hierarchies of high quality topics represented by meaningful phrases. ...
By using a phrase-centric topical frequency measure instead of a unigram-centric measure, we are able to mine and rank higher quality phrases for each topic. • Ranking of topical phrases: We define a topical ...
doi:10.1145/2487575.2487631
dblp:conf/kdd/WangDDZNTH13
fatcat:hqdughl2ubgp5d6quhl32yn7ju
Parameter estimation of neuron models using different advanced optimization methods for application in biomedical field
2015
International Journal of IT-based Public Health Management
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This paper also attempts to illustrate the BI approaches incorporated with data mining techniques appropriate in the healthcare domain to overcome the issues and challenges more efficiently. ...
Business Intelligence in healthcare has become a subject of interest to the researcher due to rising demand of improvement in healthcare service quality, patient satisfaction and safety and organizational ...
Two different approaches exist for Business Intelligence in Healthcare: data centric approach and process centric approach [11] . ...
doi:10.21742/ijiphm.2015.2.1.01
fatcat:2q4cktsxgrdnzhjwn3arzdzsga
The role of data science in healthcare advancements: applications, benefits, and future prospects
2021
Irish Journal of Medical Science
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It helps build a comprehensive view of patients, consumers, and clinicians. Data-driven decision-making opens up new possibilities to boost healthcare quality. ...
This data requires effective management and analysis to acquire factual results. ...
The role of data mining is to improvise the stored user information to provide superior treatment and care. ...
doi:10.1007/s11845-021-02730-z
pmid:34398394
pmcid:PMC9308575
fatcat:r57qjecgzjcctalhs5pxjvuada
On user-centric tools for QoE-based recommendation and real-time analysis of large-scale markets
2014
IEEE Communications Magazine
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It presents a user-centric recommendation system (called u-map) that enables users to collect network measurements and subjective opinion scores about the performance of various services. ...
It also cross-correlates measurements obtained by u-map to provide geo-statistics, user profiles, and quality of experience prediction models for different services. ...
ACKNOWLEDGMENT The authors would like to thank Manos Dramitinos for his valuable feedback. ...
doi:10.1109/mcom.2014.6894450
fatcat:klzzkmrggvh2rexgaxufr7as6y
Fostering Human Agency: A Process for the Design of User-Centric XAI Systems
2020
International Conference on Information Systems
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Our work contributes to the design of user-centric XAI systems and the quest for human agency in AI. ...
Against this background, we design a process to systematically guide the instantiation, calibration, and quality control of XAI systems such that they foster human agency and enable appropriate trust in ...
Thus, we take processes from the fields of data mining and data science as a starting point to incorporate user-centric objectives into the design of XAI systems. ...
dblp:conf/icis/ForsterKKS20
fatcat:ocxkioli4rgjtogh7jdowy4bci
Knowledge Based Performance Evaluation and Predictive Model for Undergraduate Students
2019
Asian Journal of Research in Computer Science
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In educational data mining, the process of analysing and predicting from a pool of acquired data is a big challenge due to the influence of behavioural, environmental, parental, personal and social traits ...
The system then builds a personal data centric system for individual student through a decision support expert system and a probabilistic optimal grade point analysis for more effective recommendation. ...
Some other approach concentrates' on estimating the final grade of a student why using the current available result. ...
doi:10.9734/ajrcos/2018/v2i330074
fatcat:abre572a45dnhn6hlfgcze7kyi
An Analysis of Machine- and Human-Analytics in Classification
2017
IEEE Transactions on Visualization and Computer Graphics
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In this work, we present a study that traces the technical and cognitive processes in two visual analytics applications to a common theoretic model of soft knowledge that may be added into a visual analytics ...
Both compared a visual analytics approach using parallel coordinates with a machine-learning approach using information theory. ...
The estimation shows that there are overwhelming amount of information available to the human-centric approach. ...
doi:10.1109/tvcg.2016.2598829
pmid:27875135
fatcat:yjjwx7t2dbei7nkagh6xmgeg3q
Non-deterministic interpretation and applications of CPT testing data
[chapter]
2022
Cone Penetration Testing 2022
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The quasi-continuity and high repeatability of CPT measurements inherently endow this testing method with a central role in the momentous shift in para digm. ...
Current cautions and limitations to the development, dissemination, and implementation of these methods are arguably surmountable and provide stimulating opportunities for a collective effort on the part ...
As the quantity and quality of data are expected to continue to increase over time, fail ing to proactively confer further centrality to the data-centric approach in both geotechnical research and practice ...
doi:10.1201/9781003308829-6
fatcat:7jdt525r2re6xctclggeyfnhau
Decision-Centric Active Learning of Binary-Outcome Models
2007
Information systems research
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We also show that this method is robust in the face of decreasing quality of utility estimations, eventually converging to uniform random sampling, and that it can be extended to situations where different ...
cost (error-centric approaches). ...
We also thank the organizers of The Second International Knowledge ...
doi:10.1287/isre.1070.0111
fatcat:w5dgshkdj5c4pgu6yi77z2v5ii
Drug repositioning or target repositioning: a structural perspective of drug-target-indication relationship for available repurposed drugs
2020
Computational and Structural Biotechnology Journal
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Lastly, a drug-centric approach connects a known drug to a new target and its associated indication. ...
Disease-centric approaches identify close relationships between an old and a new indication. A target-centric approach links a known target and its established drug to a new indication. ...
However, the combination of the RDD and the MDT has resulted in a data reduction that may have compromised the quality of our analysis. ...
doi:10.1016/j.csbj.2020.04.004
pmid:32419905
pmcid:PMC7215100
fatcat:ycsr7jrrw5csnozhvqfa2jdclq
Contextual Ranking of Keywords Using Click Data
2009
Proceedings / International Conference on Data Engineering
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We then define a new feature space to represent the interestingness of concepts, and describe a new approach to estimate their relevancy for a given context. ...
We utilize click through data obtained from a large scale user-centric entity detection system -Contextual Shortcuts -to train a model to rank the extracted concepts, and evaluate the resulting model extensively ...
ACKNOWLEDGMENT We are grateful to John Thrall for his helpful comments and suggestions. ...
doi:10.1109/icde.2009.76
dblp:conf/icde/IrmakBK09
fatcat:6gtfi6er5rhnxctcvpduiwoxx4
Cross-selling financial services to small and medium enterprises via e-banking portals
2006
European Conference on Information Systems
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This paper introduces a research approach based on the current research in IS and marketing and presents the status quo of the project and its next steps. ...
The customer group of small and medium enterprises (SME) was only rarely an object of investigation. Especially SMEs are a difficult group for banks to be profitable in. ...
But as in data mining, the majority of research is focussed on retail banking, often aiming to evaluate the service quality. ...
dblp:conf/ecis/Wittmann06
fatcat:ok4mhd6hbjcetf4wdwitdhnuwm
Towards green AI-based software systems: an architecture-centric approach (GAISSA)
[article]
2023
arXiv
pre-print
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The GAISSA project aims at providing data scientists and software engineers tool-supported, architecture-centric methods for the modelling and development of green AI-based systems. ...
Although the project is in an initial stage, we describe the current research results, which illustrate the potential to achieve GAISSA objectives. ...
results from scientific WPs (e.g., quality model, architecture-centric methods) rather than on the final integrated complete system. 3) Integrated system (M13-M22): portfolio of quality model and architecture-centric ...
arXiv:2307.09964v1
fatcat:fu4f6b5esvbkld4mopygjxm34y
Data Analytics in CRM Processes: A Literature Review
2017
Information Technology and Management Science
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A systematic literature has been conducted to achieve this goal. The results of the review highlight the most frequently considered CRM processes in the context of data analytics. ...
Nowadays, the data scarcity problem has been supplanted by the data deluge problem. Marketers and Customer Relationship Management (CRM) specialists have access to rich data on consumer behaviour. ...
Data analytics provides an opportunity to transform from a product-centric focus to a more customer-centric view [3] . ...
doi:10.1515/itms-2017-0018
fatcat:mbrdmqmpknd6bd7mycewyrfqta
Data-centric Artificial Intelligence: A Survey
[article]
2023
arXiv
pre-print
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Recently, the role of data in AI has been significantly magnified, giving rise to the emerging concept of data-centric AI. ...
The attention of researchers and practitioners has gradually shifted from advancing model design to enhancing the quality and quantity of the data. ...
Next, we provided a background of data-centric AI, which includes its definition and a goal-driven taxonomy. ...
arXiv:2303.10158v2
fatcat:sfodn3p7f5cihbynv2leqakjry
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