i want the code and documentation of the project : C-Trend: Temporal Cluster Graphs For Identifying And Visualizing Trends In Multiattribute Transactional Data ....etc

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Abstract—Security risk assessment and mitigation are two vital processes that need to be executed to maintain a productive IT infrastructure. On one hand, models such as attack graphs and attack trees have been proposed to assess the cause-consequence relationships between various network states, while on the other hand, different decision problems have been explored to identify the minimum-cost hardening measures. However, these risk models do not help reason about the causal dependencies between network states. Further, the optimization for ....etc

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Signal flow graph – an additional technique that is very useful for the analysis of microwave networks in terms of transmitted and reflected waves
Consider the flow graph of an arbitrary two-port network
The flow graph gives an intuitive graphical illustration of the network behavior
A wave of amplitude a1 incident at port 1 is split:
1)…part going throughS11 and out port 1 as a reflected wave
2)… part transmitted through S21 to node b2.
3) At node b2:
- the wave goes out port 2;
- if a lo ....etc

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Abstract.
We present a simple way of designing deterministic algorithms for problems in the data stream model via lossless expander graphs.We illustrate this by considering two problems, namely, k-sparsity testing and estimating frequency of items.
1 Introduction
We say that an n-dimensional vector f from Zn is k-sparse if it has at most k non-zero entries. The problem is to test whether f is k-sparse or no after it has been subject to a sequence of coordinate wise updates in arbitrary order, that is, f is the frequency vec ....etc

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Please provide the heuristic based query processing for large rdf graphs using cloud computing coding and documentation
....etc

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Hybrid Scheduling of Dynamic Task Graphs with Selective Duplication for Multiprocessors under Memory and Time Constraints
ABSTRACT
This paper presents a hybrid scheduling methodology for task graphs to multiprocessor embedded systems. The proposed methodology is designed for task graphs which are dynamic in nature due to the presence of conditional tasks as well as tasks whose execution times are unpredictable but bounded. We have presented the methodology as a three phase strategy in which task nodes are mapped to the processors in t ....etc

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Hi am Ramya i would like to get details on web mining graph for recommendations seminar reports..my friend said web mining graphs for recommendations seminar reports will be available here and now am living at kasaragod and now am doing my b tech so now i need help on this seminar topic
so am requesting for this seminar report and ppt . ....etc

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I want fuul project file on this topic. Becose i have no time left please help me ....etc

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Thanks for putting this project on the network.
Please go doing this job and add many more projects..:) ....etc

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C-TREND:Temporal Cluster Graphs for Identifying and Visualizing Trends in Multi-attribute Transactional Data

Organizations and firms are capturing increasingly more data about their customers, suppliers, competitors, and business environment. Most of this data is multi-attribute (multidimensional) and temporal in nature. Data mining and business intelligence techniques are often used to discover patterns in such data; however, mining temporal relationships typically is a complex task. We propose a new data analysis and visualization techniqu ....etc

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