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This paper proposes a new agent-based approach in rough set classification theory. In data mining, the rough set technique is one classification technique. It generates rules from a large database and has mechanisms to handle noise and uncertainty in data. However, producing a rough classification model or rough classifier is computationally expensive, especially in its reduct computation phase: this...
Classification and prediction are among the major techniques in data mining and widely used in various fields. In this article we present a study on how some talent management problems can be solved using classification and prediction techniques in data mining. By using this approach, the talent performance can be predicted by using past experience knowledge discovered from the existing database....
Classification is one of the tasks in data mining. Nowadays, there are many classification techniques being used to solve classification problems such as neural network, genetic algorithm, Bayesian and others. In this article, we attempt to present a study on how talent management can be implemented using decision tree induction techniques. By using this approach, talent performance can be predicted...
This paper focuses on protein sequences family classification from Gracilaria changii seaweed species using back-propagation classifier. Classification of protein sequence family is to infer the function of an unknown protein by analysing its structural similarity to a given family of proteins. The use of sequence alignment technique to classify the protein sequence is less efficient because the entire...
Data preprocessing is an important step in data mining. It is used to resolve various types of problem in a large dataset in order to produce quality data. It consists of four steps, namely, data cleaning, integration, reduction and transformation. The literature shows that each preprocessing step consists of various techniques. In order to develop quality data, a data miner must decide the most appropriate...
Currently, ant colony optimization (ACO) metaheuristic becomes the most prominent techniques applied in TSP. It is based on the cooperation of a complex society of ants through a chemical substance called pheromone. Several versions of metaheuristic ACOs' have been developed through several improvement processes to produce better algorithm. Past research has proposed a dynamic ant colony system with...
Jawi is an old version of Malay language writing that need to be preserved. Therefore, it is important to develop tools for teaching kids about Jawi characters and speech-to-text (STT) application can serve this purpose well. Unlike English, Jawi uses special characters similar to Arabic characters. However, its pronunciations are in Malay language. This uniqueness makes STT development a challenging...
This paper proposes a new agent based approach in rough set classification theory. Rough set is one of data mining techniques for classification. It generates rules from large database and it has mechanism to handle noise and uncertainty in data. However, to produce a rough classification model or rough classifier is highly computational especially in its reduct computation phase which is an np-hard...
Ants are a fascinating creature that demonstrates a capability of finding food and bring it back to their nest. Their ability as a colony to find paths or routes to the food sources has inspired a newly developed algorithm called dynamic ant colony system 3 level updates (DACS3). The principle of cooperation and the behavior of a single ant finding path has been the backbone in this algorithmic development...
Human resource decisions are subject to limitations, because they always depend on human knowledge, judgement and preference. Decision support applications can be used to provide fair and consistent decisions, besides to improve the effectiveness of decision making processes. An intelligent decision support system (IDSS) is developed to assist decision makers in high level phases of decision making...
In response to the complexity of communication networks, simulation was and remains the only way to evaluate network performance. Unfortunately, traditional simulation methods are not adapted to all networks such as networks with quality of service and networks with dynamic aspect. To overcome this limitation, a new method to simulate dynamic networks based on multi-agents simulation had been proposed...
Packet networks are currently enabling the integration of heterogeneous traffic with a wide range of characteristics that extend from video traffic with stringent QoS requirements to best-effort traffic requiring no guarantees. QoS guarantees can be provided in packet networks by the use of proper packet scheduling algorithms. Similar to the trends of computer revolution, many scheduling algorithms...
The current data mining tools is used to build knowledge based on a huge historical data. At present, businesses are facing with fast growing data that are very valuable in contributing knowledge. Knowledge should be updated regularly in order to ensure its quality and precision thus improve the decision making process. Data mining has shown great potential in extracting valuable knowledge from large...
Packet networks are currently enabling the integration of heterogeneous traffic with a wide range of characteristics that extend from video traffic with stringent QoS requirements to best-effort traffic requiring no guarantees. QoS guarantees can be provided in packet networks by the use of proper packet scheduling algorithms. Similar to the trends of computer revolution, many scheduling algorithms...
Ants are a fascinating creature that demonstrates a capability of finding food and bring it back to their nest. Their ability as a colony to find paths or routes to the food sources has inspired the development of an algorithm namely ant colony system (ACS). The principle of cooperation has been the backbone in these algorithmic developments. However, observing the behavior of a single ant can provide...
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