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Process spaceship

Hamid Motahari, Boualem Benatallah, Regis Saint-Paul, Fabio Casati, Periklis Andritsos
2008 Proceedings of the VLDB Endowment  
In the semi-automated mode, we illustrate how the architect can supervise the process view discovery.  ...  We demonstrate that Process Spaceship can be operated in two modes: automated, or semi-automated (supervised). Automated mode.  ... 
doi:10.14778/1454159.1454186 fatcat:tqqmsa3pnremlbqapxoa2xjm6y

A semantic template based designer for Web processes

Ranjit Mulye, John Miller, Kunal Verma, Karthik Gomadam, Amit Sheth
2005 IEEE International Conference on Web Services (ICWS'05)  
In this paper, we present a novel designer for business processes, which allows for intuitive modeling of Web processes, as well as using a template based approach for semi-automatically integrating partners  ...  The growing popularity of Service Oriented Computing based on Web services standards is creating a need for paradigms to represent and design business processes.  ...  Several tools have been created for semi-automatic composition of Web services [24, 25] .  ... 
doi:10.1109/icws.2005.16 dblp:conf/icws/MulyeMVGS05 fatcat:dzmtqjstxrea7mnh3q62kphc4q

Cooperation of Business Intelligence and Big Data in one Ecosystem

Matej Černý, D. Hrušovská, M. Kmety Barteková, M. Kozáková
2020 SHS Web of Conferences  
With structured data handle Business Intelligence and with unstructured data on the other side Big Data.  ...  This model - the ecosystem is based on already proven data processing processes running in Business Intelligence and in Big Data areas. Both processes are integrated into one unit.  ...  Acknowledgement The paper was elaborated within VEGA No. 1/0388/20 IT Management in Enterprises in Slovakia: International Standards and Norms Versus Individual Business Processesproportion 100.  ... 
doi:10.1051/shsconf/20208301008 fatcat:kddrtsmepbartobvmsrxkbz5am

Applications of Data Mining to Electronic Commerce [article]

Ron Kohavi, Foster Provost
2000 arXiv   pre-print
Furthermore, one often must deal with social and political issues involved in the automation of a previously manual business process.  ...  For example, wide customer records with many potentially useful fields allow data mining algorithms to search beyond obvious correlations. 2. A large volume of data.  ...  Manual analysis will be impossible, and even traditional semi-automated analyses will become unwieldy. Data mining soon will become essential for understanding customers.  ... 
arXiv:cs/0010006v1 fatcat:p5wswkmhzvg5vbubp5x3ps22rq

Internet of Everything Advancement Study in Data Science and Knowledge Analytic Streams

Nilamadhab Mishra
2018 International Journal of Scientific Research in Computer Sciences and Engineering  
So, in this work, I discuss the overall data science and knowledge analytic streams for an effective IoE database management and knowledge discovery.  ...  Knowledge analytic is the major part of data science; Analytic is a never ending process because of progressive technological change requirements as well as the business change requirements.  ...  A correlated structure of data science is represented in figure 1 .  ... 
doi:10.26438/ijsrcse/v6i1.3036 fatcat:dvgzpvnmkbdqdch5lqig4azby4

Automated Discovery of Process Models from Event Logs: Review and Benchmark

Adriano Augusto, Raffaele Conforti, Marlon Dumas, Marcello La Rosa, Fabrizio M. Maggi, Andrea Marrella, Massimo Mecella, Allar Soo
2018 IEEE Transactions on Knowledge and Data Engineering  
One of the most widely studied process mining operations is automated process discovery.  ...  An automated process discovery method takes as input an event log, and produces as output a business process model that captures the control-flow relations between tasks that are observed in or implied  ...  Accordingly, they investigate different ways in which process-related events could be correlated in service interaction logs and propose a mechanism to discover event correlations (semi-)automatically  ... 
doi:10.1109/tkde.2018.2841877 fatcat:s2sca5k24bgafplv7f5x72s2ny

The Study of "big data" to support internal business strategists

Mei Ge
2018 IOP Conference Series: Earth and Environment  
Business decisions using big data can also involve some areas for analytics .They include customer satisfaction, customer journeys, supply chains, risk management, competitive intelligence, pricing, discovery  ...  and experimentation or facilitating big data discovery.  ...  Discovery and experimentation To date, the primary focus of business and technology organizations has been to automate data analysis processes such as marketing, sales and service.  ... 
doi:10.1088/1755-1315/108/4/042090 fatcat:rennbdkmnze53cio3pxwwarjie

Applications of Data Mining to Electronic Commerce [chapter]

Ron Kohavi, Foster Provost
2001 Applications of Data Mining to Electronic Commerce  
Manual analysis will be impossible, and even traditional semi-automated analyses will become unwieldy. Data mining soon will become essential for understanding customers.  ...  discovery process other than the algorithmic phase.  ... 
doi:10.1007/978-1-4615-1627-9_1 fatcat:ctnciju52jhitkfyksrujrplnq

Initiating and Implementing Data Mining Practices within a Small to Medium-Sized Business Organization

Matthew Baer, Thilini Ariyachandra, Mark Frolick
2013 Journal of Economics Business and Management  
Next, this paper describes the successful use of Excel and Visual Basic for Applications to support the data mining of automated test software log files at a local mid-sized manufacturer that is suffering  ...  Data analytics, specifically knowledge discovery through data mining has received much attention from industry in recent years.  ...  Knowledge Discovery in Databases (KDD) "refers to the overall process of discovering useful knowledge from data" [7] using data mining as a step in this process.  ... 
doi:10.7763/joebm.2013.v1.72 fatcat:2hql6zcdkjek3emjrrjav77gvy

Event correlation for process discovery from web service interaction logs

Hamid Reza Motahari-Nezhad, Regis Saint-Paul, Fabio Casati, Boualem Benatallah
2010 The VLDB journal  
To account for its subjectivity, we have designed the event correlation discovery process to be interactive and enable users to guide it toward process views of their interest and organize the discovered  ...  In this paper, we investigate the problem of event correlation for business processes that are realized through the interactions of a set of Web services.  ...  Beheshti for assisting in the experimentation of the tool usage.  ... 
doi:10.1007/s00778-010-0203-9 fatcat:7ekg3wpe25e37jnkmd42ss4v5a

Generating rules from data mining for collaboration moderator services

C. Palmer, J. A. Harding, R. Swarnkar, B. P. Das, R. I. M. Young
2011 Journal of Intelligent Manufacturing  
At the moment, checking the discovered relationships for statistical significance is a manual process but this would be simple to automate.  ...  Research Area THEN send message "Consider if Research Area is suitable"Currently rule generation is performed manually but this part of the rule discovery process could be readily automated.  ... 
doi:10.1007/s10845-011-0589-2 fatcat:l7ccdwvgl5ezlczt6kin4gdd5a

Data Mining, Internet Marketing and Web Mining

Vishesh S, Manu Srinath, Supriya Ramarao Prasanna, Supriya Yadati Narasimhulu
2017 IJARCCE  
Data mining acts as a tool which practices like collection, integration, analysis and presentation of business intelligence data in an internetwork.  ...  Data mining is the computational process of discovering patterns in large scale data sets involving methods at the intersection of artificial intelligence, machine learning, statistics and database systems  ...  A typical web mining task is processing unstructured or semi-structured data from web pages. V.  ... 
doi:10.17148/ijarcce.2017.63117 fatcat:ppepptbthnefhampjchbbmlfmi

BizCQ

Wei Tang, Ling Liu, Calton Pu
2004 Alternate track papers & posters of the 13th international conference on World Wide Web - WWW Alt. '04  
of managing changes that are caused by external parties in business-tobusiness (B2B) information exchanges.  ...  In this poster, we propose the framework of BizCQ, a system to apply Continual Queries [7] [8] on Web-based content to manage information exchanges between two business partners.  ...  However, very little work has been done to explore the use for automating and integrating change response to business processes impacted by the changes.  ... 
doi:10.1145/1010432.1010595 fatcat:oysswt4r6ndfnkmm5heppdwg5a

Big Data Analytic Using Cloud Computing

Vinay Kumar Jain, Shishir Kumar
2015 2015 Second International Conference on Advances in Computing and Communication Engineering  
It is a fact that data that is too big to process is also too ELJ WR WUDQVIHU DQ\ZKHUH VR LW ¶V MXVW WKH DQDO\WLFDO SURJUDP which needs to be moved²not the data.  ...  most of the public data sets such as Facebook ,Twitter, financial markets data, weather data, genome datasets and aggregated industry-specific data live in the cloud and it becomes more cost-effective for  ...  The automated or semi-automated analysis of enormous volumes of data lies at the heart of big-data computing for all application domains. VI.  ... 
doi:10.1109/icacce.2015.112 fatcat:fh3cx7r73rhlniuic4ly4kf2mi

BizCQ

Wei Tang, Kipp Jones, Ling Liu, Calton Pu
2004 Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters - WWW Alt. '04  
of managing changes that are caused by external parties in business-tobusiness (B2B) information exchanges.  ...  In this poster, we propose the framework of BizCQ, a system to apply Continual Queries [7] [8] on Web-based content to manage information exchanges between two business partners.  ...  However, very little work has been done to explore the use for automating and integrating change response to business processes impacted by the changes.  ... 
doi:10.1145/1013367.1013530 dblp:conf/www/TangJLP04 fatcat:5jp7rtbzsbc3zmvgbutsooa2ky
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