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GPX1Interactive Mining of Gene Expression Data [chapter]

D JIANG, J PEI, A ZHANG
2004 Proceedings 2004 VLDB Conference  
Although various clustering methods have been proposed, two tough challenges still remain on how to integrate the users' domain knowledge and how to handle the high connectivity in the data.  ...  GPX integrates several novel techniques, including the coherent pattern index graph, a gene annotation panel, and a graphical interface, to adopt users' domain knowledge and support explorative operations  ...  In practice, co-expressed genes may belong to the same or similar functional categories and indicate co-regulated families [9] .  ... 
doi:10.1016/b978-012088469-8/50119-4 fatcat:563pq57nl5e6doa2kqsw4lc6vq

Web mining: research and practice

P. Kolari, A. Joshi
2004 Computing in science & engineering (Print)  
Joshi has a BTech in electrical engineering from the India Institute of Technology, Delhi, and an MS and PhD in computer science from Purdue University.  ...  He is also interested in the Semantic Web and data and Web mining.  ...  For instance, Web-watcher 22 uses content-and structure-mining techniques to give guided tours to users browsing a page.  ... 
doi:10.1109/mcse.2004.23 fatcat:y6a6f4gvfjesfciuajlpfododu

Genetic Process Mining [chapter]

W. M. P. van der Aalst, A. K. Alves de Medeiros, A. J. M. M. Weijters
2005 Lecture Notes in Computer Science  
As it will be shown, the main challenge while defining a genetic algorithm to also tackle duplicate tasks is to avoid the mining of over-specific models.  ...  Process Mining in Action: The α-algorithm This chapter uses the α-algorithm [17] to give the reader more insight into the way control-flow perspective of a process can be mined.  ... 
doi:10.1007/11494744_5 fatcat:5or5zabuave2vpftpvdqfbiwvy

Mining geophysical data for knowledge

E. Mesrobian, R. Muntz, E. Shek, S. Nittel, M. La Rouche, M. Kriguer, C. Mechoso, J. Farrara, P. Stolorz, H. Nakamura
1996 IEEE Expert  
For such a research approach to be practical, scientists need a powerful system that supports easy formulation and execution of powerful queries and discriminant functions against the database, * a natural  ...  PLORATORY DATA MINING AND analysis for scientific hypothesis testing or phenomenon detection is an iterative, successive-refinement process.  ...  Acknowledgments We sincerely acknowledge support from NASA HPCC Grants NAG 5-2224 and NAG 5-2225, from NASA Aisrp Grant NAGW-3915, and from NASA Eosdis Grant HAGW-4292.  ... 
doi:10.1109/64.539015 fatcat:kuvc2usq7fcufnzrikfy5smssu

Agent System Mining: Vision, Benefits, and Challenges

Andrei Tour, Artem Polyvyanyy, Anna Kalenkova
2021 IEEE Access  
Finally, the alpha-algorithm for process discovery has been used to mine a Petri net model of an individual agent in a robotic MAS [58] .  ...  from business process data. 2) Algorithms for inferring MAS models from data Most research that integrates the ABM paradigm with the Data Mining and Process Mining fields is dedicated to MAS implementations  ... 
doi:10.1109/access.2021.3095464 fatcat:de6nxo3x2zcl7ge3npo4zqeqlq

The Integrated Delivery of Large-Scale Data Mining: The ACSys Data Mining Project [chapter]

Graham Williams, Irfan Altas, Sergey Bakin, Peter Christen, Markus Hegland, Alonso Marquez, Peter Milne, Rajehndra Nagappan, Stephen Roberts
2002 Lecture Notes in Computer Science  
Data Mining draws on many technologies to deliver novel  ...  The work reported on here has been performed by the ACSys Data Mining Project. Contributions from both the Australian National University and CSIRO Australia sta are acknowledged.  ...  Parallel algorithms exploit the processing capabilities of multi-processor environments to deliver models in a timely fashion.  ... 
doi:10.1007/3-540-46502-2_2 fatcat:2ocsknsve5de5jzxfzf2yqglzy

Opinion Mining Analysis: A Framework

Swati Kunwar, Neetu Bansla
2019 Zenodo  
Opinion mining is a sort of natural language processing for tracing the emotional frame of mind of the public regarding a distinct or certain product.  ...  So, to answer this complication an automated perspective of a machine is required to mine all-inclusive sentiment or opinions.  ...  CHALLENGES OF OPINION MINING Opinion mining is convenient in various manners like in marketing it assists in determining the favorable outcome of a new product is more favored and it also determine which  ... 
doi:10.5281/zenodo.3461312 fatcat:kxxlkxqhyrgltpmypynjepyzpq

Web Mining Research: A Survey [article]

Raymond Kosala, Hendrik Blockeel
2000 arXiv   pre-print
However, there is a lot of confusions when comparing research efforts from different point of views.  ...  In this paper, we survey the research in the area of Web mining, point out some confusions regarded the usage of the term Web mining and suggest three Web mining categories.  ...  The Web presents new challenges to the traditional data mining algorithms that work on flat data.  ... 
arXiv:cs/0011033v1 fatcat:uczqoncgz5a6zndq2ezh7l62zm

Editorial survey: swarm intelligence for data mining

David Martens, Bart Baesens, Tom Fawcett
2010 Machine Learning  
Further, we provide a unifying framework that categorizes the swarm intelligence based data mining algorithms into two approaches: effective search and data organizing.  ...  Finally, we list interesting issues for future research, hereby identifying methodological gaps in current research as well as mapping opportunities provided by swarm intelligence to current challenges  ...  in the editing process.  ... 
doi:10.1007/s10994-010-5216-5 fatcat:l5xankksffgl5ppwysinb22rze

Data Mining System and Applications: A Review

S.P Deshpande, V.M Thakare
2010 International Journal of Distributed and Parallel systems  
The storing of the data in data warehouse enables entire enterprise to access a reliable current database.  ...  It is very important to gather data from different data sources, store and maintain the data, generate information, generate knowledge and disseminate data, information and knowledge to every stakeholder  ...  The data mining techniques are used to determine the best or the most optimal squad to represent a team in a team sport in a season, tour or game.  ... 
doi:10.5121/ijdps.2010.1103 fatcat:bf7smhjk5ja7pciuk3ooesdu5m

Argument Mining: A Survey

John Lawrence, Chris Reed
2019 Computational Linguistics  
This paper explores the techniques that establish the foundations for argument mining, provides a review of recent advances in argument mining techniques, and discusses the challenges faced in automatically  ...  extracting a deeper understanding of reasoning expressed in language in general.  ...  Acknowledgments This work was funded in part by EPSRC in the UK under grant EP/N014871/1.  ... 
doi:10.1162/coli_a_00364 fatcat:vpnimzg47vdrlaexcqngdat2n4

Transport behavior-mining from smartphones: a review

Valentino Servizi, Francisco C. Pereira, Marie K. Anderson, Otto A. Nielsen
2021 European Transport Research Review  
Purpose This literature review pinpoints and examines the problems limiting prior research, and exposes drivers to select and rank machine-learning algorithms used for data processing in smartphone-based  ...  Yet after over a decade of research and field experimentation on such surveys, and despite a consensus in transportation research as to their potential, smartphone-based travel surveys are seldom used  ...  From our standpoint, these approaches could contribute in mitigating the cold-start problem [100] , for example in the process of switching from a traditional to a smartphonebased travel survey.  ... 
doi:10.1186/s12544-021-00516-z fatcat:fdbqa2phszde5afsh6ap5z7tky

Data Mining for Motorsport Aerodynamics [chapter]

Matthew Watts, Robert Carrese, Hadi Winarto
2012 Advances in Data Mining Knowledge Discovery and Applications  
This approach has given rise to a unique hybrid design methodology where data mining, in particular SOM, is integrated in the design process as a secondary analysis technique [11] .  ...  As such this chapter will focus upon the merit of design space exploration for the practical engineer through application to a particularly challenging aerodynamic problem.  ... 
doi:10.5772/50298 fatcat:maic57i2y5cqzfcluu4b55mioa

Data Mining: Statistics and More?

David J. Hand
1998 American Statistician  
Data mining is a new discipline lying at the interface of statistics, database technology, pattern recognition, machine learning, and other areas.  ...  It is concerned with the secondary analysis of large databases in order to find previously unsuspected relationships which are of interest or value to the database owners.  ...  CONCLUSION Some authors (e.g., Fayyad 1997) see data mining as a "single step in a larger process that we call the KDD process." "KDD" here stands for Knowledge Discovery in Databases.  ... 
doi:10.1080/00031305.1998.10480549 fatcat:466jnsmaunha7c7frt34hcoeui

Data Mining: Statistics and More?

David J. Hand
1998 American Statistician  
Data mining is a new discipline lying at the interface of statistics, database technology, pattern recognition, machine learning, and other areas.  ...  It is concerned with the secondary analysis of large databases in order to find previously unsuspected relationships which are of interest or value to the database owners.  ...  CONCLUSION Some authors (e.g., Fayyad 1997) see data mining as a "single step in a larger process that we call the KDD process." "KDD" here stands for Knowledge Discovery in Databases.  ... 
doi:10.2307/2685468 fatcat:yb5m26db4beqhcas7oghdu4nwm
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