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智能小区中的数据采集算法

Data collection calculation method in intelligent residences
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摘要 阐述了智能化小区的概念,针对智能小区中的数据采集问题,用图表遍历的方法设计了两个数据采集算法,这两种算法都能够访问到每个节点,并收集信息,可依据具体的需要采用具体的算法。 The thesis introduces the conception of the intelligent residence briefly,and designs two data collection calculation methods using chart traversing method aiming at the data collection in intelligent residences.These two calculation methods can visit each joint and collect the information.Which calculation method is more suitable depends on the specific needs.
出处 《山西建筑》 2010年第27期32-33,共2页 Shanxi Architecture
关键词 智能小区 传热器网络 节点 算法 intelligent residences sensor networks joint calculation methods
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  • 1R. Agrawal, T. Imielinski, A. Swami. Mining association rules between sets of items in large databases. The 1993 ACM SIGMOD Int'l Conf. on Management of Data, Washington, D.C. USA,1993. 被引量:1
  • 2R. Agrawal, R. Srikant. Fast algorithms for mining association rules in large databases. The 20th Int'l Conf. on Very Large Databases, Santiago, Chile, 1994. 被引量:1
  • 3R. Agarwal, C. Aggarwal, V. V. V. Prasad. A tree projection algorithm for generation of frequent itemsets. Journal of Parallel and Distributed Computing (Special Issue on High Performance Data Mining), 2001, 61(3): 350--371. 被引量:1
  • 4J. Han, J. Pei, Y. Yin. Mining frequent patterns without candidate generation. The 2000 ACM SIGMOD Int'l Conf. on Management of Data, Dallas, USA, 2000. 被引量:1
  • 5H. Mannila, H. Toivonen. Levelwise search and borders of theories in knowledge discovery. Data Mining and Knowledge Discovery, 1997, 1(3): 241--258. 被引量:1
  • 6Lin DaoI, Kedem, Z. M. Pincer-Search: A new approach for discovering the maximum frequent set. The 6th European Conf. on Extending Database Technology, Valencia, Spain. 1998. 被引量:1
  • 7R. J. Bayardo. Efficiently mining long patterns from databases.The 1998 ACM SIGMOD Int'l Conf. on Management of Data,Seattle, Washington, USA, 1998. 被引量:1
  • 8Ramesh C. Agarwal, Charu C. Aggarwal, V. V. V. Prasad.Depth-first generation of long patterns. The 6th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, Boston,MA, USA, 2000. 被引量:1
  • 9Doug Burdick, Manuel Calimlim, Johannes Gehrke. Mafia; A maximal frequent itemset algorithm for transactional databases. The17th Int'l Conf. on Data Engineering, Heidelberg, Germany,2001. 被引量:1
  • 10K. Gouda, M. J. Zaki. Efficiently mining maximal frequent itemsets. The 1st IEEE Int'l Conf. on Data Mining (ICDM), San Jose, USA, 2001. 被引量:1

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