By Amuda James Abu, Steven Gordon (auth.), Borworn Papasratorn, Wichian Chutimaskul, Kriengkrai Porkaew, Vajirasak Vanijja (eds.)
At the college of data expertise, KMUTT, we think that info te- nology is crucial driving force of economic system and social improvement. it might - capable larger productiveness, in addition to supporting us to save lots of assets. it's giving upward thrust to a brand new around of commercial and company revolution. We now could have items and s- vices that when have been believed to be past succeed in. with out IT, it's very unlikely for individuals to achieve their complete strength. companies all over the world are harnessing the ability of broadband communique, for you to have a profound and optimistic impression at the monetary, social devel- ment, schooling, and just about all features of our lifestyles. This new period of unified commu- cation provides us with new demanding situations. the reason is, we must always interact extra heavily to augment the trade of data relating to potent program of broadband verbal exchange and IT. it really is my honest wish that every one contributions to the 3rd overseas convention on Advances in info expertise (IAIT 2009) increases our realizing of ways we will be able to have successfully observe this rising expertise for the good thing about each person all over the global. i'm hoping IAIT 2009 also will result in extra learn that could contr- ute to a greater method for IT functions within the period of unified verbal exchange. i'm very thankful to all our keynotes audio system for coming all of the solution to Thailand.
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Additional info for Advances in Information Technology: Third International Conference, IAIT 2009, Bangkok, Thailand, December 1-5, 2009. Proceedings
It ﬁrstly considers the patterns with the highest support and then combines candidates to build the top-k periodic-frequent patterns list. Our empirical studies, on real and synthetic data, show that our algorithm is eﬃcient and scalable for top-k periodic-frequent pattern mining. References 1. : Mining association rules between sets of items in large databases. , May 26-28, pp. 207–216 (1993) 2. : Beyond market baskets: generalizing association rules to correlations. In: ACM SIGMOD/PODS, pp. 265–276 (1997) 3.
2 Model Development Framework The model development framework for intercropping planning is depicted in Fig. 1 consisting of data, method and process. The linear programming method is a main technique applied to plan the intercropping. There are two types of data used in the model development called user preferences and crop database. , total area that users plan to plant all crops. , sale prices per plant of each crop, periods of growing until harvesting of each crop and cultivating area per plant of each crop.
In: Proceedings of the International Conference Parallel and Distributed System, vol. 2, pp. 1–8 (2007) 13. : Synthetic Data Generation Code for Association and Sequential patterns. html Bringing Precision to Office Document Search by Semantic Relationship Approach Somchai Chatvichienchai1 and Katsumi Tanaka2 1 Dept. jp 2 Dept. jp Abstract. Traditional search tools that employ keyword and phrase matching between the query and search index alone tend to offer high recall and low precision. The search users are faced with too many irrelevant results.