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CUTIE: Learning to Understand Documents with Convolutional Universal Text Information Extractor [article]

Xiaohui Zhao, Endi Niu, Zhuo Wu, Xiaoguang Wang
2019 arXiv   pre-print
To avoid designing expert rules for each specific type of document, some published works attempt to tackle the problem by learning a model to explore the semantic context in text sequences based on the  ...  We demonstrate the effectiveness of the proposed method on a dataset with up to 4,484 labelled receipts, without any pre-training or post-processing, achieving state of the art performance that is much  ...  We also provides softAP results for CUTIE-A and CUTIE-B in Table 2, where both the softAP of CUTIE-A and CUTIE-B exceeds their AP by a large margin.  ... 
arXiv:1903.12363v4 fatcat:ra73l3owrzftngnuohw5ftnkhy

Interpreting text and image relations in violent extremist discourse: A mixed methods approach for big data analytics

Kay L. O'Halloran, Sabine Tan, Peter Wignell, John A. Bateman, Duc-Son Pham, Michele Grossman, Andrew Vande Moere
2016 Terrorism and Political Violence  
The paper presents a mixed methods approach for analysing text and image relations in violent extremist discourse.  ...  The approach involves integrating multimodal discourse analysis with data mining and information visualisation, resulting in theoretically informed empirical techniques for automated analysis of text and  ...  As such, the approach is the first step towards the development of a digital mixed methods research design which makes use of the potential of data mining and information visualisation for exploring discourse  ... 
doi:10.1080/09546553.2016.1233871 fatcat:fsg2zsoldncy7kaak45mqzn7ey

Latent Text Mining for Cybercrime Forensics

Raymond Y. K. Lau, Yunqing Xia
2013 International Journal of Future Computer and Communication  
This is a devastating growth of the number of cyber-attacks, and it reveals a serious business problem around the world.  ...  The main contributions of this paper are the design, development, and  ...  As it is computationally expensive to directly estimate the conditional ( | , ) i i P a t d , an approximation method of Gibbs sampling TABLE I .  ... 
doi:10.7763/ijfcc.2013.v2.187 fatcat:ozq4nnpct5fp5bjcn7nmbi4w24

Informing epidemic (research) responses in a timely fashion by knowledge management - a Zika virus use case [article]

Angela Bauch, Johann Pellet, Tina Schleicher, Xiao Yu, Andrea Gelemanovic, Cosimo Cristella, Pieter L Fraaij, Ozren Polasek, Charles Auffray, Dieter Maier, Marion Koopmans, Menno Douwe de Jong
2020 biorxiv/medrxiv   pre-print
The process described here can be used for timely structuring of pathophysiological knowledge for future threats.  ...  The resulting structured biological knowledge is a helpful tool for computational data analysis and generation of predictive models and opens new avenues for infectious disease research.  ...  Acknowledgements The authors wish to thank their colleagues for discussion and feedback, and Sheridon Sauer and Shannon Frances for critical review of the article.  ... 
doi:10.1101/2020.04.17.044743 fatcat:aymr62iq3re4pl6yzqsntdlcfm

Knowledge discovery in multidimensional knowledge representation framework

Johannes Zenkert, André Klahold, Madjid Fathi
2018 Iran Journal of Computer Science  
In the implementation part of this research, an application is introduced which utilizes MKR based on the results of stated text mining methods applied on a German and English news data set.  ...  Visualization of results is one of the central challenges in big data analytics and integrative text mining.  ...  In general, text mining provides a set of different statistical methods for computers to understand textual unstructured content.  ... 
doi:10.1007/s42044-018-0019-0 fatcat:bgtrlo6oyjbwdjnlb5leempuge

What we know and what we do not know about DMN

Kathrin Figl, Jan Mendling, Gul Tokdemir, Jan Vanthienen
2017 Enterprise Modelling and Information Systems Architectures - An International Journal  
The recent Decision Model and Notation (DMN) establishes business decisions as first-class citizens of executable business processes.  ...  This research note has two objectives: first, to describe DMN's technical and theoretical foundations; second, to identify research directions for investigating DMN's potential benefits on a technological  ...  In general, DMN uses rectangles to represent decisions and variations of rectangles for other concepts: e. g. for the concept Knowledge Source a "shape with three straight sides and one wavy one", for  ... 
doi:10.18417/emisa.13.2 dblp:journals/emisaij/FiglMTV18 fatcat:e235jh3imzd7dn6rcwycvkac5q

An Open Grid Service Environment for Large-Scale Computational Finance Modeling Systems [chapter]

Clemens Wiesinger, David Giczi, Ronald Hochreiter
2004 Lecture Notes in Computer Science  
We propose a system where components exist as instances of meta-components carrying relevant semantic information about the application problem realm.  ...  A motivating workflow example from the field of computational finance is given.  ...  We understand that in a complete financial management system all of these mentioned points are nearly equally important and must be properly treated.  ... 
doi:10.1007/978-3-540-24685-5_11 fatcat:srxnnnimsjgsvahfm7dbuzhtf4

OmniGraph: Rich Representation and Graph Kernel Learning [article]

Boyi Xie, Rebecca J. Passonneau
2015 arXiv   pre-print
In experiments on a text-forecasting problem that predicts stock price change from news for company mentions, OmniGraph beats several benchmarks based on bag-of-words, syntactic dependencies, and semantic  ...  OmniGraph, a novel representation to support a range of NLP classification tasks, integrates lexical items, syntactic dependencies and frame semantic parses into graphs.  ...  for syntactic ar- and edges greyed out, apart from the colored subgraph, which is a predictive OminGraph feature consisting of frame names (rectangles), semantic roles (diamonds), and semantic and syntactic  ... 
arXiv:1510.02983v1 fatcat:lkb55ctmyvhlbp5bx6zejw2qpa

A Novel Datamining Approach to Determine the Vanished Agricultural Land in Tamilnadu

S. Megala, Author M.Hemalatha
2011 International Journal of Computer Applications  
Data mining, in fact, provides scientific tools for representative data collection, appropriate analysis and summarization of data and inferential procedures for drawing conclusions in the face of uncertainty  ...  The presence of wide heterogeneity in the investigational material that is often used in agricultural research, led to the application of data mining tools and as a result many refinements and newer developments  ...  And from the semantic view, "high" and "low" have a big difference. Table 4 tells the number of cases (samples) in each final cluster.  ... 
doi:10.5120/2869-3718 fatcat:rcrrvkakmrb2vkisbbq4ki273i

Combining machine-based and econometrics methods for policy analytics insights

Robert J. Kauffman, Kwansoo Kim, Sang-Yong Tom Lee, Ai-Phuong Hoang, Jing Ren
2017 Electronic Commerce Research and Applications  
Computational Social Science (CSS) has become a mainstream approach in the empirical study of policy analytics issues in various domains of e-commerce research.  ...  This article showcases the methods shifts and several contemporary applications.  ...  Table A1 offers a summary of the research based on: (1) the purpose for which the data are intended to be analyzed; (2) the Appendix. A. Fusion analytics examples  ... 
doi:10.1016/j.elerap.2017.04.004 fatcat:g6onq7o2yjfpxi5lzofqjhfylm

An Approach to Estimate the Value of User Sessions Using Multiple Viewpoints and Goals [chapter]

E. Menasalvas, S. Millán, M. S. Pérez, E. Hochsztain, A. Tasistro
2004 Lecture Notes in Computer Science  
The method also helps to estimate ongoing session value in terms of how the company's objectives and expectations are being achieved. 1. Semantic Layer.  ...  By later applying discriminant analysis to the information enriched this way, it is possible to identify the relevant factors that contribute most to the success of a session for each viewpoint under consideration  ...  Thus, the area of each rectangle represents the relative frequency of values of the discriminant function for each interval.  ... 
doi:10.1007/978-3-540-30123-3_10 fatcat:erbmowf32jfwbb3c77g6apjgti

Module structure detection of oracle characters with similar semantics

Qingju Jiao, Yuanyuan Jin, Yongge Liu, Shengwei Han, Guoying Liu, Nan Wang, Bang Li, Feng Gao
2021 Alexandria Engineering Journal  
Then, three module structure detection methods are employed to mine the modules from the oracle character networks.  ...  to the semantic formation of oracle characters.  ...  [58] propose a novel family of GNNs for solving community detection problems in a supervised learning Fig. 11 The NMIs of modules mined by spectral method with different number (1~200) of modules.  ... 
doi:10.1016/j.aej.2021.03.072 fatcat:5tylxrsdmvhvtoos7pg7m5snky

A MDA-based campus data analysis and visualization framework

Jiangning Xie, Xueqing Li, Lei Wang, Yuzhen Niu
2012 International Journal of Education and Management Engineering  
Based on the idea of MDA modeling analysis, we provide a rapid develop platform of campus business for both business analyzers and developers.  ...  As the rapid development of high education informatization, it will be a new important research topic to conduct the data mining and visual analytics to the existing data in the separated information systems  ...  The logic structure design of multi-dimension data involves the structure design of fact tables and dimension tables, and the relationships among these tables.  ... 
doi:10.5815/ijeme.2012.10.11 fatcat:wp7oezhfs5eljbfsj3jj5dba74

Learning Semantic Relationships of Geographical Areas based on Trajectories

Saim Mehmood, Manos Papagelis
2020 2020 21st IEEE International Conference on Mobile Data Management (MDM)  
While previous studies have utilized trajectories for this type of analysis at the level of a single geographical area, the results cannot be easily generalized to inform comparative analysis of different  ...  The method allows to (a) distinguish geographical proximity to semantic proximity, and (b) inform a comparative analysis of two (or more) models obtained by trajectories defined on different geographical  ...  In [3] authors are introducing realistic and financial aspects into trajectory data mining for bike sharing.  ... 
doi:10.1109/mdm48529.2020.00032 dblp:conf/mdm/MehmoodP20 fatcat:qewjnpcydncrlekfhxqauz5r3y

Requirement Engineering for Service Based Systems

T Priyaradhikadevi
2012 IOSR Journal of Computer Engineering  
In this paper, a new approach is presented based on hybrid clustering methods for Web Usage Mining (WUM). The WUM process contains three steps: pre-processing, data mining and result analysis.  ...  Furthermore, this paper also described web usage mining through cloud computing i.e. cloud mining. The Future work of web mining is to introduce a hierarchy on the information about the website.  ...  and forwarding time of the packet necessary information for tracing. and information tracer, traces the information using Trace table method, ARP table method and Order driven query method.  ... 
doi:10.9790/0661-0720108 fatcat:l6pdzbeicbhevcaol3kvs7ddgm
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