Attribute oriented induction with star schema

2018 Indonesian Association for Pattern Recognition International Conference (INAPR)

et al. 2018

Progress in the complexity of large cities, highly complex systems, and intelligence science, in particular, smart city technology, has shown great ability in helping to reduce traffic congestion in developing cities. All ideas from the development of intelligent transportation to a town that wants to build and want to change into a smart city, especially in the field of ACP (system created, computing developed), based on parallel management and control system (PTMS). PTMS is considered to be enlarged to a new generation of an intelligent transportation system, and its essential component of architecture then make the hardware and software that will support a new architecture in a developing city to a smart city. The case in a lift is a communication system on a car that uses peer to peer networks and smart cards, with a communication system in a vehicle is expected to control congestion in a developing city through an original town with a connected system. This paper proposed four aspects of surveillance such as Traffic surveillance, vehicle Surveillance, passenger surveillance and driver surveillance. The combination of these surveillances will create best applied Intelligent Transportation Systems (ITS) or can be called as Smart Transportation Systems(STS).

Section: Introductionmentioning

confidence: 99%

A Proposed surveillance model in an Intelligent Transportation System (ITS)

Putra

2018 Indonesian Association for Pattern Recognition International Conference (INAPR)

et al. 2018

“…Data Mining is computer algorithm program which have function to find or learn pattern/rule in data as a explicit knowledge in Knowledge Management. There are many current recognized Data Mining algorithms such as Decision tree/rules, Support Vector Machine (SVM), C4.5, K-Means, Apriori, Expectation Maximization (EM), PageRank, AdaBoost, k-Nearest Neighbors (kNN), Naive Bayes and Classification and Regression Tress(CART) [2,3], Emerging Pattern (EP) [7][8], Attribute Oriented Induction (AOI) [9][10][11][12][13][14][15][16], Attribute Oriented Induction High Emerging Pattern (AOI-HEP) [17][18][19][20][21]. The pattern or rule is the way to look at the data in many perspective.…”

Section: Simple Definition About Data Mining Theorymentioning

confidence: 99%

Understanding of data mining in computer science learning from PILKADA DKI Jakarta 2017

2017 International Conference on Applied Computer and Communication Technologies (ComCom)

Trisetyarso

et al. 2017

DKI Jakarta gubernatorial election 2017 was phenomenal event which draws attention worldwide, where one of the defeated candidate Ahok or recognized as Basuki Tjahaja Purnama was charged with blasphemy, has double minority background in Indonesia as descendants of China and Christian and he was titled "Man of the Year" 2015 by Globe Asia magazine. However, in this paper we do not interested with political conversation, how one candidate couples can win or how one candidate couples could lose. We are interested to learn based on our science knowledge in Computer Science perspective particularly with the term of Data Mining with this 5 years DKI Jakarta event program. Hopefully, by reading this paper the students of Computer Science can understand their Computer Science knowledge in their surrounding life events. Obviously, voters' decisions are influenced by human nature characteristic which like to similarity preferences, where human like to choose someone who have full or frequent similarity in profile and/or program. Beforehand, voters should do learning by doing the characterization of their and candidate couples' profile and program. Afterwards, based on candidate couples' profile and program, the voters will do discrimination between candidate couples, classification, clustering or association among candidate couples. Admittedly, the voters will fill their ballot based on their preference similarity.

“…Request online system is a web based application which is built with Personal Home Page (PHP) language programming in order to record and control all improvement or update request in SAP application. For future implementation, the intelligent of this application will be extended with such as technology such as Data Warehouse [19,20,21,22,23] or Data Mining with some options algorithms such as Attribute Oriented Induction(AOI) [24,25,26,27,28,29,30,31] or Attribute Oriented Induction High level Emerging Patterns (AOI-HEP) [32,33,34,35,36].…”

Section: Introductionmentioning

confidence: 99%

Object oriented metrics to measure the quality of software upon PHP source code with PHP_depend study case request online system application

Sarwo

2017 International Conference on Applied Computer and Communication Technologies (ComCom)

et al. 2017

Nowadays, a company should be equipped with information technology and one of them is business application either web based or non web based which is built with object oriented programming in order to help the management to run their daily business processes. In order to supports a company with best excellent software applications then we need to make sure the quality of software application in term of easy to maintenance, understandability, reusability and so on. In term to measure the quality of software, there are many software metrics applications either free or proprietary which can be downloaded on Internet and one of them is PHP_depend. PHP_depend is software metrics which measure the quality of software based on PHP source code, by taking the PHP source code and parses it into Abstract Syntax Tree (AST). This paper will investigate how to measure quality of software based on PHP source code with PHP_depend software metrics. The investigation will examine codes from Request online system application which supports improvement or update request upon SAP application in Astra Graphia Information Technology PT. The measurement will be assessed based on metrics which is categorized into project, package, file, class and methods.