The need for analyzing the different crime dataset has significantly increased over the past few decades. It is necessary to detect the wide variety of crimes and the corresponding place of occurrences accurately. Gov...
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ISBN:
(纸本)9781538676387
The need for analyzing the different crime dataset has significantly increased over the past few decades. It is necessary to detect the wide variety of crimes and the corresponding place of occurrences accurately. Government bodies throughout the world maintained Open data initiatives, which is a large collection of heterogeneous dataset. This enables the government agencies to maintain the law and order of the society. The prime objective of this paper is to analyze the Chicago crime dataset to extract the significant crime information over the years. The proposed analysis is performed to bring out the crime information depending on some predetermined criteria, e.g. total crimes of different types, narcotic crime cases, an offense involving children, analysis of hourly theft cases and location identification where the major theft cases have occurred. The proposed analysis is performed in fully distributed Hadoop cluster. Moreover, we have extracted crucial minuscule statistics on theft-related criminal activities and their latitude or longitude.
The field of wireless sensor network (WSN) presence attractive with association of researchers concluding it to be various for situation defense security, civilian applications & medical research. Problems of rout...
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ISBN:
(纸本)9781509067107
The field of wireless sensor network (WSN) presence attractive with association of researchers concluding it to be various for situation defense security, civilian applications & medical research. Problems of routing in WSN for the benefit of handling in computationally constrained and resource constrained micro sensors are intricate. Preceding coercion prevent line-up of common networking system arranged for Unconditional ad-hoc sensor networks. Routing algorithms or protocols being conceived for wireless sensor applications demand to be impartial, and shall enhance strength of the Wireless Sensor Network. We projected a cakewalk, sharp, and flexible algorithm that satisfies improved ability of the network. The asserted protocol or algorithm existence set side by side forward other ad hoc & sensor network routing protocols. It's presence seen that insisted protocol has very flexible bunch support, canny energy utilization mechanism, firm mettle of transportation energy, altered abeyance and boosted throughput. The projected protocol has set reference point in absorbing communication energy, cultivated effective chunks, and calmly promoting network resources like bandwidth etc. In this paper, EERA onward with data aggregation core on wireless sensor network is conferred. The structure efforts as middleware for combining information consistent by a total of nodes within a network. The central aim of information gathering algorithms is to assemble and corporate information in an strength effective conduct so that network period is enlarged. The desire of the expected production is to analyse the act of TAG in conditions of energy ability in analogy with data aggregation in wireless sensor networks and to fix the rightness of the protocol in an environment where stockpile are finite.
The need for analyzing the different crime dataset has significantly increased over the past few decades. It is necessary to detect the wide variety of crimes and the corresponding place of occurrences accurately. Gov...
详细信息
ISBN:
(纸本)9781538676394;9781538676387
The need for analyzing the different crime dataset has significantly increased over the past few decades. It is necessary to detect the wide variety of crimes and the corresponding place of occurrences accurately. Government bodies throughout the world maintained Open data initiatives, which is a large collection of heterogeneous dataset. This enables the government agencies to maintain the law and order of the society. The prime objective of this paper is to analyze the Chicago crime dataset to extract the significant crime information over the years. The proposed analysis is performed to bring out the crime information depending on some predetermined criteria, e.g. total crimes of different types, narcotic crime cases, an offense involving children, analysis of hourly theft cases and location identification where the major theft cases have occurred. The proposed analysis is performed in fully distributed Hadoop cluster. Moreover, we have extracted crucial minuscule statistics on theft-related criminal activities and their latitude or longitude.
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