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("]}");
}
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);
ArrayList tree = analyst.getTree();
String data = "ID,name,size,parentID,value\n";
for (int i = 0; i < tree.Count; ++i)
{
String[] node = (String[])tree[i];
data += String.Format("{0},{1},{2},{3},{4}\n", node[0], node[1], 1, node[2], node[3]);
}
Response.Write(data);
}
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);
}
