Sentiment analysis of restaurant customer reviews on tripadvisor using naïve bayes
Sentiment analysis is one method for classifying documents to identify positive or negative
opinions. Customer satisfaction has an essential point for customer service. Customer …
opinions. Customer satisfaction has an essential point for customer service. Customer …
Anomaly detection in business processes using process mining and fuzzy association rule learning
R Sarno, F Sinaga, KR Sungkono - Journal of Big Data, 2020 - Springer
Much corporate organization nowadays implement enterprise resource planning (ERP) to
manage their business processes. Because the processes run continuously, ERP produces …
manage their business processes. Because the processes run continuously, ERP produces …
Coupled hidden Markov fusion of multichannel fast spectral coherence features for intelligent fault diagnosis of rolling element bearings
H Wang, C Li, W Du - IEEE Transactions on Instrumentation …, 2021 - ieeexplore.ieee.org
Comprehensive understanding for machinery health monitoring could be realized by
multisource information. Nevertheless, effective fusion of faulty features extracted from …
multisource information. Nevertheless, effective fusion of faulty features extracted from …
[PDF][PDF] Constructing control-flow patterns containing invisible task and non-free choice based on declarative model
KR Sungkono, R Sarno - … Journal of Innovative Computing, Information and …, 2018 - ijicic.org
Business processes can be modeled into declarative models and imperative models. The
declarative model provides rules to describe the relation of flexible processes and the …
declarative model provides rules to describe the relation of flexible processes and the …
[PDF][PDF] Graph-based algorithms for discovering a process model containing invisible tasks
An event log records the business processes of a company. Modeling event logs aim to help
users in analyzing business processes. One of the problems in modeling event logs …
users in analyzing business processes. One of the problems in modeling event logs …
Improving efficiency for discovering business processes containing invisible tasks in non-free choice
R Sarno, KR Sungkono, M Taufiqulsa'di… - Journal of Big Data, 2021 - Springer
Process discovery helps companies automatically discover their existing business
processes based on the vast, stored event log. The process discovery algorithms have been …
processes based on the vast, stored event log. The process discovery algorithms have been …
[PDF][PDF] A survey of graph-based algorithms for discovering business processes.
R Sarno, KR Sungkono - International Journal of …, 2019 - pdfs.semanticscholar.org
Analysts use their business process model to find out the latest business process and
become a reference for future development. Unfortunately, modification of a business …
become a reference for future development. Unfortunately, modification of a business …
Identifying possible improvements of software development life cycle (sdlc) process of a bank by using process mining
S Taskesenlioglu, N Ozkan… - International journal of …, 2022 - World Scientific
Software development with its unique characteristics having knowledge-intensive and
human-oriented aspects and complex domains, challenges organizations. The timely …
human-oriented aspects and complex domains, challenges organizations. The timely …
[PDF][PDF] Modified Alpha++ algorithm for discovering the hybrid of non-free choice and invisible task of business processes
Process discovery is a concern in analyzing business processes. Process discovery
methods handle many aspects, eg a hybrid of non-free choice and invisible task. A hybrid of …
methods handle many aspects, eg a hybrid of non-free choice and invisible task. A hybrid of …
Anomaly detection based on control-flow pattern of parallel business processes
H Darmawan, R Sarno, AS Ahmadiyah… - TELKOMNIKA …, 2018 - telkomnika.uad.ac.id
The purpose of this paper was to discover an anomalous-free business process model from
event logs. The process discovery was conducted using a graph database, specifically using …
event logs. The process discovery was conducted using a graph database, specifically using …