Big Data is a new term used to identify the datasets that due to their large size and complexity. Big Data concerns large-volume, complex, growing data sets with multiple, autonomous sources. we cannot manage them with our current methodologies or data mining software tools. Big Data mining is the capability of extracting useful information from these large datasets or streams of data, that due to its volume, variability, and velocity. Big Data is now rapidly expanding in all science and

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... ring domains, including physical, biological and bio-medical sciences. With HACE theorem, when analyzing the inconsistent data such as sparse data, incomplete data, and Corrupted files, it becomes difficult to analyses and recover the inconsistent data. In the proposed approach , Clustering (Using Hierarchical Clustering), Classification (Using See5),Rules (Jrip) is used to develop an application called "Recommendation System for Pediatric Health Care". Here, the medical record is going to be analyzed and data mining techniques are going to be applied for that record to get the recommended output. Mining from Sparse, Uncertain, and Incomplete Data is perfectly analyzed using proposed mining techniques such as Clustering (Using Hierarchical Clustering), Classification (Using See5), Rules (Jrip).