data items
Continuous Query Processing Of Dynamic Data Items In Network Aggregation Environment
... the data items at the source and value known to the ...the data item at the ...fast data streams, and as a need for timely online ...stock data is as given below: ...
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Theoretical Model for Detecting Sensitive Data Items of Users in Data Publication
... which data items are sensitive and how to detect these sensitive data ...items. Data pri- vacy has become a very important concern in data publication in this modern ...of ...
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Performance Improvement In Clustering Using Similarity Measurement Method By Categorizing The Data Items
... Semi-Structured Data: Background, Applications, and Ongoing Challenges ...including: data clustering and semantic-aware indexing, data integration and selective dissemination, semantic-aware and ...
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MULTI PATH QUERY REQUEST AND REPLY VERIFICATION FOR ATTACKER DISCOVERY UNDER MOBILE AD-HOC NETWORKS
... necessary data items with unnecessary ones and we analyze the effects of such an attack on top-k query processing when there are multiple malicious nodes in the ...
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A Deterministic Protocol for Permutation Routing in Dense Multi Hop Sensor Networks
... Wireless sensor networks (WSN for short) can be de- ployed to provide continuous surveillance over an area of interest, referred to as a sensor field [1,2]. Wireless sen- sor nodes perform collaborative work [3] via ...
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Automated payroll system
... The database concept encourages management to analyze data, relationships between data items and how data is used in different applications... The organization of data into a database, r[r] ...
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A Fast and Efficient Algorithm for Finding Frequent Items over Data Stream
... frequent items from a data ...frequent data items and their frequencies ...All items whose true frequency exceeds SN are detected, where N is the total number of data ...
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Trends and social inequalities in cardiovascular risk factors
... l Appendix B Comparison of data items collected in each survey TABLE A2.1 Data items collected in the National Heart Foundation's Risk Factor Prevalence Study II I ~ di, 11 1980 survey C[r] ...
204
An Optimal Approach for Parallel and Dynamic Clustering
... raw data logically and searches the hidden patterns that may be present in ...collecting data items into disjointed clusters so that the data items in the same cluster are ...between ...
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Censorship Resistant Peer-to-Peer Networks
... the data items by using erasure ...the data item at each of the Θ(log n) nodes, we would just store an encoded piece of the data item with rate determined by our desired degree of fault ...
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Clustering and Classification Algorithms in Data Mining
... when data items are such that their mean is ...the data whose mean is not defined, K-Medoids clustering algorithm is ...its data item, and hence, it can be used with any type of ...located ...
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A NOVEL HYBRID APPROACH FOR PREDICTION OF MISSING VALUES IN NUMERIC DATASET
... Missing data is the absence of data items; they hide some information that may be ...missing data affecting data quality. The presence of missing data is a general and ...
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Legal Treatment of Items
... for items is in a close treatment, as item is everything that may form the subject of rights, but is part of the outside world that It can be subject to human power, and that can bring the one who has the power to ...
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Impacts of Newly Acquired Items Within Business Combinations on the Items of the Financial Statements
... are items of the acquired business, which are evaluate at fair ...these items it is necessary to report the loss from this reduction as part of the income from operations of this accounting ...
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An Efficient Fuzzy Clustering Algorithm Based on Modified K-Means
... the data point nearest to centroidDist are ...for data partitioning. However, data axis with the highest variance will be chosen as the principal axis for data ...given data into k ...
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Mining Frequent and Correlated Items Using Map Reduce Framework and Tree Data Structure
... Big Data. To apply FIM methods on the big data there is need to ...big data mining, we can apply those method on Hadoop map ...frequent items from the long ...of Data these methods are ...
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Storing and Indexing Expressions in Database Systems
... Expression Filter index can be created on a column storing Expressions and the EVALUATE operator on such column may use the index to process the Expressions efficiently. Given a large set of Expressions, many of them ...
56
Gender Inequality and Its Effects in Females Torture Survivors
... PTSD Measure-(CAPS-2) (18 items): This measure was de- veloped by Blake et al. (1990) and is widely used to assess post-traumatic stress disorder (PTSD). It is a structured clinical interview that assesses 17 ...
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Estimating Native Vocabulary Size in an Endangered Language
... of data points is much higher on the left part of the plot, so that the result is heavily influenced by the points with low frequency and only slightly influenced by the points with rank greater than ...the ...
5
EFL learners’ attitudes towards their English language oral errors: the case of grade twelve students.
... number of wanted sample of the section was covered. The same was done for all the sections. Three groups of Focus Group Discussions with six students each were also used in this study. High achievers, medium achievers ...
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