コード例 #1
0
ファイル: Processor.aspx.cs プロジェクト: mlnotes/correlation
        protected void Page_Load(object sender, EventArgs e)
        {
            String dataSource = WebConfigurationManager.AppSettings["dataSource"];

            int    attr       = Convert.ToInt32(Request["attr"]);
            double filter     = Convert.ToDouble(Request["filter"]);
            double support    = Convert.ToDouble(Request["support"]);
            double confidence = Convert.ToDouble(Request["confidence"]);


            Analyst   analyst = new Analyst(dataSource);
            ArrayList result  = analyst.analysis(attr, filter, support, confidence);

            String[] properties = analyst.getProperties();


            Response.Write("{\"aaData\":[");

            for (int i = 0; i < result.Count; ++i)
            {
                CriterionPattern p = (CriterionPattern)result[i];

                String json = "[" +
                              "\"" + p.getCriterion(properties) + "\"," +
                              "\"" + p.getColumns(properties) + "\"," +
                              "\"" + p.Count + "\"," +
                              "\"" + String.Format("{0:P}", p.Support) + "\"," +
                              "\"" + String.Format("{0:P}", p.Confidence) + "\"" +
                              "]";
                if (i < result.Count - 1)
                {
                    json += ",";
                }
                Response.Write(json);
            }
            Response.Write("]}");
        }
コード例 #2
0
ファイル: Chord.aspx.cs プロジェクト: mlnotes/correlation
        protected void Page_Load(object sender, EventArgs e)
        {
            String dataSource = WebConfigurationManager.AppSettings["dataSource"];

            int    attr       = Convert.ToInt32(Request["attr"]);
            double filter     = Convert.ToDouble(Request["filter"]);
            double support    = Convert.ToDouble(Request["support"]);
            double confidence = Convert.ToDouble(Request["confidence"]);

            Analyst   analyst = new Analyst(dataSource);
            ArrayList result  = analyst.analysis(attr, filter, support, confidence);

            String[]  names      = analyst.getProperties();
            Hashtable criterions = new Hashtable();
            Hashtable properties = new Hashtable();

            for (int i = 0; i < result.Count; ++i)
            {
                CriterionPattern p = (CriterionPattern)result[i];
                if (p.getColumnLength() == 1)
                {
                    String key = p.getCriterion(names);
                    if (!criterions.ContainsKey(key))
                    {
                        criterions.Add(key, new ArrayList());
                    }
                    ((ArrayList)criterions[key]).Add(p);

                    key = p.getColumns(names);
                    if (!properties.ContainsKey(key))
                    {
                        properties.Add(key, new ArrayList());
                    }
                    ((ArrayList)properties[key]).Add(p);
                }
            }

            Hashtable   colIndex = new Hashtable();
            String      data     = "";
            int         index    = 0;
            IEnumerator iter     = criterions.Keys.GetEnumerator();

            while (iter.MoveNext())
            {
                data += iter.Current + ",";
                colIndex.Add(iter.Current, index++);
            }

            iter = properties.Keys.GetEnumerator();
            while (iter.MoveNext())
            {
                data += iter.Current + ",";
                colIndex.Add(iter.Current, index++);
            }
            data = data.Substring(0, data.Length - 1) + "\n";

            iter = criterions.Keys.GetEnumerator();
            while (iter.MoveNext())
            {
                int[]     row  = new int[criterions.Count + properties.Count];
                ArrayList list = (ArrayList)criterions[iter.Current];
                for (int i = 0; i < list.Count; ++i)
                {
                    CriterionPattern p = (CriterionPattern)list[i];
                    row[(int)colIndex[p.getColumns(names)]] = p.Count;
                }

                data += arrayToString(row);
            }

            iter = properties.Keys.GetEnumerator();
            while (iter.MoveNext())
            {
                int[]     row  = new int[criterions.Count + properties.Count];
                ArrayList list = (ArrayList)properties[iter.Current];
                for (int i = 0; i < list.Count; ++i)
                {
                    CriterionPattern p = (CriterionPattern)list[i];
                    row[(int)colIndex[p.getCriterion(names)]] = p.Count;
                }
                data += arrayToString(row);
            }

            Response.Write(data);
        }