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Research Aligned Analysis on Web Access Behavioral Pattern Mining for User Identificationa

2019 International Journal of Engineering and Advanced Technology  
Classification is the process of classifying web patterns for user identification. In this paper we have implemented the existing works and discussed the results here to find the limitations.  ...  In existing methods, many data mining techniques were introduced for web user behaviour identification. But, the user identification accuracy was not improved and time consumption was not reduced.  ...  Computing a similarity measure was proposed in [9] for mining different entity sets.  ... 
doi:10.35940/ijeat.f9552.088619 fatcat:wxgynqsh5zbmxisl4jrqcvhgku

On Formalism of Continuous Knowledge Discovery and Temporal Granularity

Ding Pan
2011 Journal of Software  
The definitions of main notions (event, sequence pattern, temporal rule) are proposed in a formal way, based on first-order linear temporal logic and temporal granularity.  ...  A continuous knowledge discovery process is introduced for inducing the local first-order rules and global evolutional rules, to trace dynamic evolution patterns firstly.  ...  Cotofrei et al. investigated the form of temporal rules of time series, and presented a formalism of main terms and notions, based on the first-order temporal logic [8] .  ... 
doi:10.4304/jsw.6.7.1217-1224 fatcat:crnjjouclnf3la5yw5zxink7iu

Process Mining and Verification of Properties: An Approach Based on Temporal Logic [chapter]

W. M. P. van der Aalst, H. T. de Beer, B. F. van Dongen
2005 Lecture Notes in Computer Science  
For this purpose we have developed a new language based on Linear Temporal Logic (LTL) and we combine this with a standard XML format to store event logs.  ...  Our earlier work on process mining has primarily focused on process discovery, i.e., automatically constructing models describing knowledge extracted from event logs.  ...  For example, activity A may only occur if it is preceded by activity B or activity C and immediately followed by activity D. Therefore, we propose an approach based on temporal logic [26, 28] .  ... 
doi:10.1007/11575771_11 fatcat:dipupfc7zbbnzghcevt4i6eu4q

Modeling and Querying Fuzzy SOLAP-Based Framework

Sinan Keskin, Adnan Yazıcı
2022 ISPRS International Journal of Geo-Information  
FSOLAP is a new framework based on fuzzy logic technologies and spatial online analytical processing (SOLAP).  ...  In this study, we use crisp measures as input for this framework, apply fuzzy operations to obtain the membership functions and fuzzy classes, and then generate fuzzy association rules.  ...  We integrated a fuzzy inference system and a fuzzy logic module for spatial data mining tasks.  ... 
doi:10.3390/ijgi11030191 fatcat:gnooctciwjevhijmjuhofryb7a

PoSDMS: A Mining System for Oceanic Dynamics with Time Series of Raster-Formatted Datasets

Lianwei Li, Cunjin Xue, Yangfeng Xu, Chengbin Wu, Chaoran Niu
2022 Remote Sensing  
; a module of process-oriented association rule mining; and a module of process-oriented visualization.  ...  On the basis of such modules, we developed a process-oriented spatiotemporal dynamic mining system named PoSDMS (Process-oriented Spatiotemporal Dynamics Mining System).  ...  Acknowledgments: We thank the NASA/JPL/PO.DAAC for providing the research data. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs14132991 fatcat:5jjiu5jdpnhitfgqluloboth2u

Mining, Representation and Reasoning with Temporal Expressions in the Legal Domain

María Navas-Loro
2017 International Web Rule Symposium  
First, Natural Language Processing (NLP) techniques are necessary to mine temporal expressions (referring to instants and events) and their relations; then, knowledge representation systems able to support  ...  more than trivial temporal information must be defined; finally, temporal logic systems exposing practical functionality are much demanded.  ...  Related to evaluation, as exposed in Fig. 1 , steps involved in the framework are sequential, relying on the previous one; each step will have its own evaluation, based on statistical performance measures  ... 
dblp:conf/ruleml/Navas-Loro17 fatcat:4buxiadrcjcjnbxskuugvdc6c4

Mining Hierarchical Temporal Patterns in Multivariate Time Series [chapter]

Fabian Mörchen, Alfred Ultsch
2004 Lecture Notes in Computer Science  
The Temporal Data Mining Method is the accompanying framework to discover temporal knowledge based on this rule language.  ...  The Unification-based Temporal Grammar is a temporal extension of static unification-based grammars.  ...  Acknowledgements We thank Niko Efthymiou, Ingo Löhken, and Michael Thies for programming the audio feature extraction.  ... 
doi:10.1007/978-3-540-30221-6_11 fatcat:onmic2vrmzaoheckbduvfcm5fm

Industrial Internet of Things-Based Collaborative Sensing Intelligence: Framework and Research Challenges

Yuanfang Chen, Gyu Lee, Lei Shu, Noel Crespi
2016 Sensors  
In this study, we propose a collaborative sensing intelligence (CSI) framework, combining collaborative intelligence and industrial sensing intelligence.  ...  The proposed CSI facilitates the cooperativity of analytics with integrating massive spatio-temporal data from different sources and time points.  ...  Such harmony can be achieved by the integration of data from different data sources, and the integration process is based on a certain logical sequence for these different data sources.  ... 
doi:10.3390/s16020215 pmid:26861345 pmcid:PMC4801591 fatcat:udeeaumpwbbsdchz4fi5pz3lhi

Cep-Based Slo Evaluation

Kyriakos Kritikos, Chrysostomos Zeginis, Andreas Paravoliasis, Dimitris Plexousakis
2017 Zenodo  
To this end, this paper introduces a new complex event processing framework able to realise the respective features mentioned (processing speed, scalability) and have the exibility to capture and sense  ...  Such a framework is wrapped in the form of a REST service enabling to manage the event patterns that need to be rapidly detected.  ...  In [15] a temporal data mining approach is presented for data that cannot fit in memory or are processed at a faster rate than the generation one.  ... 
doi:10.5281/zenodo.1041329 fatcat:cl2s6oz63nh4blcbwxujbzrqye

Network reconstruction from dynamic data

K. P. Unnikrishnan, Naren Ramakrishnan, P. S. Sastry, Ramasamy Uthurusamy
2006 SIGKDD Explorations  
The time is now fertile for addressing problems of larger scope under the purview of temporal data mining.  ...  The fourth SIGKDD workshop on temporal data mining focused on the question: What can we infer about the structure of a complex dynamical system from observed temporal data?  ...  Mishra described GOALIE (Gene-Ontology for Algorithmic Logic and Invariant Extractor), a novel computational approach and software system that uncovers formal temporal logic models of biological processes  ... 
doi:10.1145/1233321.1233335 fatcat:n6fkehevtvg4hfjwkcmadb7dee

Pairing Monitoring with Machine Learning for Smart System Verification and Predictive Maintenance

Andrea Brunello, Dario Della Monica, Angelo Montanari
2019 International Conference of the Italian Association for Artificial Intelligence  
In critical domains, formal methods have been employed to ensure the correct behaviour of a system.  ...  To overcome these limitations, some approaches that complement formal verification with model-based testing and monitoring have been recently proposed.  ...  The (temporal) logic formulas extracted during the mining phase are added to the monitoring pool of properties (possibly after their transformation into safety properties), and the process restarts from  ... 
dblp:conf/aiia/BrunelloMM19 fatcat:qugwer5ervbw5irw37xybsnvfi

Interpreter of maladies: redescription mining applied to biomedical data analysis

Peter Waltman, Alex Pearlman, Bud Mishra
2006 Pharmacogenomics (London)  
into formal temporal logic models of biological processes.  ...  Here, one such computational framework based on redescription mining in both its incarnations, static and dynamic, is discussed.  ... 
doi:10.2217/14622416.7.3.503 pmid:16610960 fatcat:shha2f42nrb3dft3rr3qgivyne

Stochastic processes and temporal data mining

Paul Cotofrei, Kilian Stoffel
2007 Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '07  
This article tries to give an answer to a fundamental question in temporal data mining: "Under what conditions a temporal rule extracted from up-to-date temporal data keeps its confidence/support for future  ...  A possible solution is given by using, on the one hand, a temporal logic formalism which allows the definition of the main notions (event, temporal rule, support, confidence) in a formal way and, on the  ...  we developed a probabilistic temporal logic framework by combining stochastic theory with first-order temporal logic.  ... 
doi:10.1145/1281192.1281215 dblp:conf/kdd/CotofreiS07 fatcat:riougqz6mnfxdfvswtleyqlize

Temporal data mining for root-cause analysis of machine faults in automotive assembly lines [article]

Srivatsan Laxman, Basel Shadid, P. S. Sastry, K. P. Unnikrishnan
2009 arXiv   pre-print
We describe an application of temporal data mining for analyzing fault logs in an engine assembly plant.  ...  Frequent episode discovery framework is a model-free method that can be used to deduce (temporal) correlations among events from the logs in an efficient manner.  ...  We describe a temporal data mining system for analyzing logs from engine plants using the frequent episodes framework.  ... 
arXiv:0904.4608v2 fatcat:h46nba7e45d5dfm5evkmfaxfca

Temporal data representation, normalization, extraction, and reasoning: A review from clinical domain

Mohcine Madkour, Driss Benhaddou, Cui Tao
2016 Computer Methods and Programs in Biomedicine  
However, temporal data representation, normalization, extraction and reasoning are very important in order to mine such massive data and therefore for constructing the clinical timeline.  ...  Health Level Seven [54] [55] [56] is an international organization developing standards to provide a comprehensive frameworks for the exchange, integration, sharing, and retrieval of Madkour et al.  ...  The framework considers the LTL to specify temporal properties and temporal-logic statements in order to be used for the checking and verification process.  ... 
doi:10.1016/j.cmpb.2016.02.007 pmid:27040831 pmcid:PMC4837648 fatcat:a75g25csqzdvlkfusbbgwmxigq
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