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Elements About Exploratory, Knowledge-Based, Hybrid, and Explainable Knowledge Discovery [chapter]

Miguel Couceiro, Amedeo Napoli
2019 Lecture Notes in Computer Science  
Knowledge Discovery in Databases (KDD) and especially pattern mining can be interpreted along several dimensions, namely data, knowledge, problem-solving and interactivity.  ...  This calls for hybridization, combining numerical and symbolic mining methods to improve the applicability and interpretability of KDD.  ...  The goal of EDA is to improve data analysis and result interpretation, providing the analyst with suitable techniques based on computational power, data exploration and visualization methods.  ... 
doi:10.1007/978-3-030-21462-3_1 fatcat:diskhipnbjc73banfdegh6rxqa

The Dramatic Impact of Explicit Instruction on Learning to Read in a New Writing System

Kathleen Rastle, Clare Lally, Matthew H Davis, J S H Taylor
2021 Psychological Science  
There is profound and long-standing debate over the role of explicit instruction in reading acquisition.  ...  In contrast, despite up to 18 hr of training on the novel words, less than 25% of discovery learners performed on par with those who received instruction.  ...  Acknowledgments We are grateful to Benedetta Cevoli and Rebecca Crowley for assistance with participant testing and data coding.  ... 
doi:10.1177/0956797620968790 pmid:33634711 fatcat:fm73p3cndvf5nabdyaegy75a7q

Mining Signatures from Event Sequences

Rajput S.H., Chetan Jadhav, Yogesh Deshmukh, Sandip Sonawane, Hemant Jadhav
2015 IJARCCE  
We have suggested clinical assessment for naked interactive knowledge discovery in large electronic health record databases.  ...  This paper proposes a novel secular knowledge representation and learning framework to proposed largescale secular signature mining of longitudinal heterogeneous occasional data.  ...  [14] , [16] , [15] proposed a novel Time Series Knowledge Representation (TSKR) as a pattern language (grammar) for temporal knowledge discovery from multivariate time series and symbolic interval  ... 
doi:10.17148/ijarcce.2015.44129 fatcat:up6onqghvje7rgj6bi4o4aw7ky

Alphabetical knowledge from whole words training: effects of explicit instruction and implicit experience on learning script segmentation

T. Bitan, A. Karni
2003 Cognitive Brain Research  
Subjects were trained in five consecutive sessions, on reading six nonsense words using a forced choice task that required translating symbol strings to sound patterns written in Latin letters.  ...  In separate blocks in each training session, a visual-matching task was administered using the same stimuli.  ...  as a identical rate, although given the differential pattern of support for either model of visual word recognition transfer results learning related changes presumably [14, 15, 23, 38, 43, 46, 57, 65  ... 
doi:10.1016/s0926-6410(02)00301-4 pmid:12706213 fatcat:2fnj2jtnmrdq5kpq7f34y4duqm

Data Mining: An AI Perspective

Xindong Wu
2004 The IEEE intelligent informatics bulletin  
Data mining, or knowledge discovery in databases (KDD), is an interdisciplinary area that integrates techniques from several fields including machine learning, statistics, and database systems, for the  ...  We discuss common topics in data mining and AI, including key AI ideas that have been used in both data mining and machine learning.  ...  ACKNOWLEDGEMENTS The author would like to express his appreciation for the anonymous feedback from the Editorial Board on an earlier version of this paper, which has helped improve the paper.  ... 
dblp:journals/cib/Wu04 fatcat:w575uedtkjgmrc7zpzr43bsunm

Pattern Recognition Methods for Querying and Browsing Technical Documentation [chapter]

Karl Tombre, Bart Lamiroy
2008 Lecture Notes in Computer Science  
Graphics recognition deals with the specific pattern recognition problems found in graphics-rich documents, typical technical documentation of all kinds.  ...  is to browse, query and navigate in a large and complex set of technical documents.  ...  Most learning, clustering and classifiction techniques used for recognition purposes can essentially been boilded down to smart co-occurrence and correlation discovery approaches.  ... 
doi:10.1007/978-3-540-85920-8_62 fatcat:2y2g2ohu3bb7ript7jq27dms3u

An Emergence of AI in Data Mining and KDD: ANN its Strength & Weakness

2020 International journal of recent technology and engineering  
Data mining is the procedure involving analyzing, searching information to make it helpful for human use.  ...  :Rapid increases in informational and technological methods have led companies to gather customer data in great databases.  ...  DATA MINING AND KNOWLEDGE MANAGEMENT Knowledge discovery and learning is definitely iterative process which stretches the compilation of data mining strategies right into a knowledge management framework  ... 
doi:10.35940/ijrte.a1462.059120 fatcat:7jd6ylivvjcxroaibhendnvv2y

User-centered visual analysis using a hybrid reasoning architecture for intensive care units

Bernard Kamsu-Foguem, Germaine Tchuenté-Foguem, Laurent Allart, Youcef Zennir, Christian Vilhelm, Hossein Mehdaoui, Djamel Zitouni, Hervé Hubert, Mohamed Lemdani, Pierre Ravaux
2012 Decision Support Systems  
We present a knowledge-and machine learning-based approach to support the knowledge discovery process with appropriate analytical and visual methods.  ...  This paper addresses the problem of improving the integration of the visual and analytical methods applied to medical monitoring systems.  ...  Acknowledgments This work was partly funded by the European program FEDER, under the ISIS (Intelligent Survey for Information Systems) project.  ... 
doi:10.1016/j.dss.2012.06.009 fatcat:lm3j7jy3sbathfwbl4dmlqzwui

Education Web Information Retrieval and Classification with Big Data Analysis

Rurui Zhou
2016 Creative Education  
In addition, we build a rule matching method to improve performance of rule utilization, in terms of information of interest to the user and the extent to the interesting part.  ...  On the basis of the initial discovery of the labeling rules, we put forward the linguistic features based on words to expand the application of the approaches.  ...  Moreover, visualization is the process of transforming big data, information, and knowledge into visual representations.  ... 
doi:10.4236/ce.2016.718265 fatcat:2h5h45qdzzd5rj6xgxqv22bxey

Challenges of Interactive Multimedia Data Mining in Social and Behavioral Studies for latest Computing &Communication of an Ideal Applications

Mohammed Waseem Ashfaque, Abdul Samad Shaikh, Sumegh Tharewal, Sayyada Sara Banu, Mohammed Ali Sohail
2014 IOSR Journal of Computer Engineering  
a computing challenges of data mining techniques can often only search and extract pre-defined patterns or knowledge from complex heterogeneous data.  ...  So the advancement in computing, carrying towards its modern and smart technology, large amount of (Audio, Video) that is multimedia data is being required and collected in highly research labs for various  ...  It uses symbols to represent time series data first, and then codes those symbols in a modified suffix tree in which the frequency and other properties of patterns are mapped onto colors and other visual  ... 
doi:10.9790/0661-16672131 fatcat:fywxnwe3wfgtdmof6y5xgfq2gq

Bridging the gap between human knowledge and machine learning

2015 Advances in Distributed Computing and Artificial Intelligence Journal  
Such an integration makes the process of knowledge discovery more effective, providing the ability to easily find hidden trends and patterns belonging to the database predictive model.  ...  As well, allowing for new observations and considerations from beforehand known data by using both data analysis methods and knowledge and skills from human reasoning.  ...  Connection, Selection, Preprocessing, Data Mining, Visualization, Discovery and Knowledge Figure 2 : 2 Classification of DM techniques.  ... 
doi:10.14201/adcaij2015415464 fatcat:piruas64zvh5bhzeptnljpphpa

A Motion Recognition Method by Using Primitive Motions [chapter]

Ryuta Osaki, Mitsuomi Shimada, Kuniaki Uehara
2000 Advances in Visual Information Management  
In this paper, we will focus on an automatic indexing method for human motion data. We convert a motion data, which is represented as time series of 3-D position, into a symbol sequence.  ...  Reference patterns are necessary for pattern matching, so that we will propose two methods to define primitive motions in order to make reference patterns.  ...  Acknowledgments This work was partially supported by the grant-in-aid for scientific research on priority area "Discovery Science" from the Japanese Ministry of Education, Science, Sports and Culture.  ... 
doi:10.1007/978-0-387-35504-7_8 fatcat:cz6s52gvrrcxbjsv7dn5jhhcse

Detection, Recognition and Tracking of Moving Objects from Real-time Video via SP Theory of Intelligence and Species Inspired PSO [article]

Kumar S Ray, Sayandip Dutta, Anit Chakraborty
2017 arXiv   pre-print
In order to recognize accurately and handle occlusion, we use the polythetic concepts on raw data line to omit the redundant noise via searching for best alignment representing the features from the extracted  ...  Unsupervised learning is done in the SP model following the DONSVIC principle and natural structures are discovered via information compression and pattern analysis.  ...  and recognition in any visual system.  ... 
arXiv:1704.07312v1 fatcat:vejhllvolvevfisctan4i227v4

Pattern discovery of fuzzy time series for financial prediction

Chiung-Hon Leon Lee, Alan Liu, Wen-Sung Chen
2006 IEEE Transactions on Knowledge and Data Engineering  
We model the imprecise and vague candlestick patterns with fuzzy linguistic variables and transfer the financial time series data to fuzzy candlestick patterns for pattern recognition.  ...  A fuzzy candlestick pattern can bridge the gap between the investors and the system designer because it is visual, computable, and modifiable.  ...  ACKNOWLEDGMENT The authors would like to thank Kao-Shing Hwang for helpful discussions on the fuzzy sets and the anonymous reviewers for their valuable comments.  ... 
doi:10.1109/tkde.2006.80 fatcat:53fitlclqbahvcpkigyzk52oqe

A study on video data mining

V. Vijayakumar, R. Nedunchezhian
2012 International Journal of Multimedia Information Retrieval  
Data mining is a process of extracting previously unknown knowledge and detecting the interesting patterns from a massive set of data.  ...  Video is an example of multimedia data as it contains several kinds of data such as text, image, meta-data, visual and audio.  ...  discovery and event recognition [97, 103] .  ... 
doi:10.1007/s13735-012-0016-2 fatcat:xuuf3w3b2rfcxlyevzndz6v62e
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