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2018-Finals-tzmcm-Rank1

2018**大数据年终总决赛

金融市场板块划分与轮动规律挖掘与可视化问题

金融市场行业板块的轮动会受到多种复杂多变的逻辑因素影响，但最终都表现为行业股价的某种周期现象，因此许多投资者都尝试通过观察行业的近期涨跌顺序等规律，进而对未来行业进行预测。传统分析行业联动规律有通过宏观分析，产业上下游关系，经济规律传导等方法，我们试图单纯的使用数据挖掘的方法从交易大数据中寻找出一些大概率成立的关联规则，并希望能够在未来将这些实验结果应用到股市预测和决策中。

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