A classe java.util.Scanner facilita a leitura de dados de vários tipos a partir de arquivos, streams ou strings, dividindo o texto em tokens e lendo os dados diretamente em seus tipos primitivos correspondentes através de métodos como next(), nextLine() e nextInt().
• Criar códigos para a captura de dados pelo teclado.
• Usar a classe BufferedReader para captura, através de uma janela de console, dos dados digitados no teclado.
• Utilizar a classe Scanner para captura, através de uma janela de console, dos dados digitados no teclado.
• Utilizar a classe JOptionPane para captura, através da uma interface gráfica, dos dados digitados no teclado.
Elite screens are available from Dukane.
Dukane is an American company serving the education, corporate, government and house of worship markets for over 85 years.
For more information contact:
Delia Valdez
Dukane Customer Service Representative
Phone: 800-076-2485
Fax: (630) 584-5156
Email: AVSales@Dukane.com
Website: www.Dukane.com/AV
For information on Dukane’s Innovative Convey Response system, go to
www.conveyclassrooms.com
Dukane AV
2900 Dukane Drive
St. Charles, IL 60174
Dukane, AV, Audiovisual, projection, screens, educational technology, instructional technology, education and training. Elite, projection screens
Elite screens are available from Dukane.
Dukane is an American company serving the education, corporate, government and house of worship markets for over 85 years.
For more information contact:
Delia Valdez
Dukane Customer Service Representative
Phone: 800-076-2485
Fax: (630) 584-5156
Email: AVSales@Dukane.com
Website: www.Dukane.com/AV
For information on Dukane’s Innovative Convey Response system, go to
www.conveyclassrooms.com
Dukane AV
2900 Dukane Drive
St. Charles, IL 60174
• Criar códigos para a captura de dados pelo teclado.
• Usar a classe BufferedReader para captura, através de uma janela de console, dos dados digitados no teclado.
• Utilizar a classe Scanner para captura, através de uma janela de console, dos dados digitados no teclado.
• Utilizar a classe JOptionPane para captura, através da uma interface gráfica, dos dados digitados no teclado.
Elite screens are available from Dukane.
Dukane is an American company serving the education, corporate, government and house of worship markets for over 85 years.
For more information contact:
Delia Valdez
Dukane Customer Service Representative
Phone: 800-076-2485
Fax: (630) 584-5156
Email: AVSales@Dukane.com
Website: www.Dukane.com/AV
For information on Dukane’s Innovative Convey Response system, go to
www.conveyclassrooms.com
Dukane AV
2900 Dukane Drive
St. Charles, IL 60174
Dukane, AV, Audiovisual, projection, screens, educational technology, instructional technology, education and training. Elite, projection screens
Elite screens are available from Dukane.
Dukane is an American company serving the education, corporate, government and house of worship markets for over 85 years.
For more information contact:
Delia Valdez
Dukane Customer Service Representative
Phone: 800-076-2485
Fax: (630) 584-5156
Email: AVSales@Dukane.com
Website: www.Dukane.com/AV
For information on Dukane’s Innovative Convey Response system, go to
www.conveyclassrooms.com
Dukane AV
2900 Dukane Drive
St. Charles, IL 60174
Elite screens are available from Dukane.
Dukane is an American company serving the education, corporate, government and house of worship markets for over 85 years.
For more information contact:
Delia Valdez
Dukane Customer Service Representative
Phone: 800-076-2485
Fax: (630) 584-5156
Email: AVSales@Dukane.com
Website: www.Dukane.com/AV
For information on Dukane’s Innovative Convey Response system, go to
www.conveyclassrooms.com
Dukane AV
2900 Dukane Drive
St. Charles, IL 60174
Access to resources and records will be limited to authorized individuals. The basic concept behind restricting access is to help reduce the risk of unauthorized use or loss to the Government, and to help achieve the directives of management. Period comparison of resources and recorded accountability will be made to determine whether the two agree.
Gothic fashion - a trend of power dressingJawbreaker
Western women love to be adorned with the latest fashion and ongoing trends. No wonder when the bygone charisma gets stitched up with it delightful factors gets broadened. Gothic style clothing and punk dresses perfectly designates such factors with energised rejuvenation. Making a remarkably attractive appeal has been outstandingly enriched with these.
Now a day enormous amount of data is getting explored through Internet of Things (IoT) as technologies
are advancing and people uses these technologies in day to day activities, this data is termed as Big Data
having its characteristics and challenges. Frequent Itemset Mining algorithms are aimed to disclose
frequent itemsets from transactional database but as the dataset size increases, it cannot be handled by
traditional frequent itemset mining. MapReduce programming model solves the problem of large datasets
but it has large communication cost which reduces execution efficiency. This proposed new pre-processed
k-means technique applied on BigFIM algorithm. ClustBigFIM uses hybrid approach, clustering using kmeans
algorithm to generate Clusters from huge datasets and Apriori and Eclat to mine frequent itemsets
from generated clusters using MapReduce programming model. Results shown that execution efficiency of
ClustBigFIM algorithm is increased by applying k-means clustering algorithm before BigFIM algorithm as
one of the pre-processing technique.
Mining biological data is an emergent area at the intersection between bioinformatics and data mining
(DM). The intelligent agent based model is a popular approach in constructing Distributed Data Mining
(DDM) systems to address scalable mining over large scale distributed data. The nature of associations
between different amino acids in proteins has also been a subject of great anxiety. There is a strong need to
develop new models and exploit and analyze the available distributed biological data sources. In this study,
we have designed and implemented a multi-agent system (MAS) called Agent enriched Quantitative
Association Rules Mining for Amino Acids in distributed Protein Data Banks (AeQARM-AAPDB). Such
globally strong association rules enhance understanding of protein composition and are desirable for
synthesis of artificial proteins. A real protein data bank is used to validate the system.
Elite screens are available from Dukane.
Dukane is an American company serving the education, corporate, government and house of worship markets for over 85 years.
For more information contact:
Delia Valdez
Dukane Customer Service Representative
Phone: 800-076-2485
Fax: (630) 584-5156
Email: AVSales@Dukane.com
Website: www.Dukane.com/AV
For information on Dukane’s Innovative Convey Response system, go to
www.conveyclassrooms.com
Dukane AV
2900 Dukane Drive
St. Charles, IL 60174
Access to resources and records will be limited to authorized individuals. The basic concept behind restricting access is to help reduce the risk of unauthorized use or loss to the Government, and to help achieve the directives of management. Period comparison of resources and recorded accountability will be made to determine whether the two agree.
Gothic fashion - a trend of power dressingJawbreaker
Western women love to be adorned with the latest fashion and ongoing trends. No wonder when the bygone charisma gets stitched up with it delightful factors gets broadened. Gothic style clothing and punk dresses perfectly designates such factors with energised rejuvenation. Making a remarkably attractive appeal has been outstandingly enriched with these.
Now a day enormous amount of data is getting explored through Internet of Things (IoT) as technologies
are advancing and people uses these technologies in day to day activities, this data is termed as Big Data
having its characteristics and challenges. Frequent Itemset Mining algorithms are aimed to disclose
frequent itemsets from transactional database but as the dataset size increases, it cannot be handled by
traditional frequent itemset mining. MapReduce programming model solves the problem of large datasets
but it has large communication cost which reduces execution efficiency. This proposed new pre-processed
k-means technique applied on BigFIM algorithm. ClustBigFIM uses hybrid approach, clustering using kmeans
algorithm to generate Clusters from huge datasets and Apriori and Eclat to mine frequent itemsets
from generated clusters using MapReduce programming model. Results shown that execution efficiency of
ClustBigFIM algorithm is increased by applying k-means clustering algorithm before BigFIM algorithm as
one of the pre-processing technique.
Mining biological data is an emergent area at the intersection between bioinformatics and data mining
(DM). The intelligent agent based model is a popular approach in constructing Distributed Data Mining
(DDM) systems to address scalable mining over large scale distributed data. The nature of associations
between different amino acids in proteins has also been a subject of great anxiety. There is a strong need to
develop new models and exploit and analyze the available distributed biological data sources. In this study,
we have designed and implemented a multi-agent system (MAS) called Agent enriched Quantitative
Association Rules Mining for Amino Acids in distributed Protein Data Banks (AeQARM-AAPDB). Such
globally strong association rules enhance understanding of protein composition and are desirable for
synthesis of artificial proteins. A real protein data bank is used to validate the system.
1. java.util.Scanner
!
A partir do Java 5.0;
!
Facilita a leitura de dados:
!
!
Divide em tokens com useDelimiter(String);
!
Faz leitura regionalizada com useLocale(Locale);
!
23
Construtores podem receber File, InputStream,
Reader e String;
Obtém dados diretamente em seus tipos, com next(),
nextLine(), nextBoolean(), nextInt(), nextDouble(),
etc.
2. Exemplo de Uso de Scanner
public
void
LerScanner(String
filename)
throws
IOException
{
Scanner
sc
=
new
Scanner(new
File(filename));
String
texto=new
String();
while(sc.hasNext())
texto
+=
sc.nextLine()+
"n";
sc.close();
System.out.println(texto);
}
//String
filename="texto.txt";
24