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    [0] => stdClass Object
        (
            [journal] => stdClass Object
                (
                    [id_jnl] => 16
                )

        )

    [1] => stdClass Object
        (
            [section] => stdClass Object
                (
                    [section] => 1
                )

        )

    [2] => stdClass Object
        (
            [title] => Array
                (
                    [0] => Crime analysis in global terrorism database@en
                    [1] => Análise criminal na global terrorism database@pt
                )

        )

    [3] => stdClass Object
        (
            [abstract] => Array
                (
                    [0] => This is a descriptive study from quantitative bivariate and multivariate analyzes, which aims to conduct a Crime Analysis in the Global Terrorism Database to understand the patterns of terrorist attacks in Brazil. A total of 262 records were collected from this database and, on these, non-parametric tests and Multiple Correspondence Analysis were applied. Using the PASW Statistics 18® and Microsoft Office Excel 2007® tools, the results show that the "Death Squad" is the group that produce the higher numbers of victims and that armed attacks by firearms are the ones with the highest number of fatalities. It is suggested the continuation of similar studies on national or international databases, using Data Mining heuristics to establish comparisons with the results obtained in this study.@en
                    [1] => Trata-se de um estudo descritivo por meio da análise quantitativa multi e bivariada, em que se objetiva realizar uma análise criminal na base Global Terrorism Database, como forma de detectar padrões nos ataques terroristas em território brasileiro. Coletaram-se 262 registros desta base e, sobre estes, aplicaram-se testes não paramétricos e Análise de Correspondência Múltipla. Utilizando-se as ferramentas PASW Statistics 18® e Microsoft Office Excel 2007®, identificou-se o grupo “Esquadrão da morte” como o mais letal e que, ataques armados, cometidos com armas de fogo, são aqueles com o maior número de vítimas fatais. Incentiva-se a continuidade de estudos semelhantes em bases nacionais ou internacionais, utilizando-se heurísticas de Mineração de Dados para estabelecer-se comparações com os resultados obtidos neste estudo.@pt
                )

        )

    [4] => stdClass Object
        (
            [author] => Array
                (
                    [0] => Paulo Sergio da Conceição Moreira
                    [1] => Denise Fukumi Tsunoda
                    [2] => Cicero Aparecido Bezerra
                )

        )

    [5] => stdClass Object
        (
            [subject] => Array
                (
                    [0] => Análise de dados@pt
                    [1] => Ataques terroristas@pt
                    [2] => Análise criminal@pt
                    [3] => Padrões@pt
                    [4] => Data analysis@en
                    [5] => Terrorist attacks@en
                    [6] => Crime analysis@en
                    [7] => Patterns@en
                )

        )

    [6] => stdClass Object
        (
            [source] => stdClass Object
                (
                    [vol] => 23
                    [nr] => esp.
                    [year] => 2018
                    [theme] => 
                )

        )

    [7] => stdClass Object
        (
            [datePub] => Array
                (
                    [0] => 2018-06-20
                )

        )

    [8] => stdClass Object
        (
            [DOI] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => DOI
                            [value] => Array
                                (
                                    [0] => 10.5007/1518-2924.2018v23nespp41
                                )

                        )

                )

        )

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        (
            [http] => Array
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                    [0] => stdClass Object
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                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2018v23nespp41
                                )

                        )

                    [1] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
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                                    [0] => https://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2018v23nespp41/36926
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                    [2] => stdClass Object
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                            [type] => HTTP
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                                    [0] => https://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2018v23nespp41/53646
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    [10] => stdClass Object
        (
            [language] => Array
                (
                    [0] => pt
                )

        )

    [11] => stdClass Object
        (
            [license] => Array
                (
                    [0] => Copr
                    [1] => CCBY4.0
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        )

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